introduction to the earth system modeling framework nancy collins [email protected]@ucar.edu july...

99
Introduction to the Earth System Modeling Framework Nancy Collins [email protected] July 22, 2005 Climate Data Assimilation Weather

Post on 20-Dec-2015

218 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

Introduction to the Earth System Modeling Framework

Nancy Collins [email protected] July 22, 2005

ClimateData Assimilation

Weather

Page 2: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

2

Goals of this Tutorial1. To give future ESMF users an understanding of the background,

goals, and scope of the ESMF project2. To review the status of the ESMF software implementation and

current application adoption efforts 3. To outline the overall design and principles underlying the ESMF

software 4. To describe the major classes and functions of ESMF in sufficient

detail to give future users an understanding of how ESMF could be utilized in their own codes

5. To describe in steps how a user code prepares for using ESMF, incorporates ESMF, and runs under ESMF

6. To identify ESMF resources available to users such as documentation, mailing lists, and support staff

Page 3: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

3

For More Basic Information …ESMF Website

http://www.esmf.ucar.edu

See this site for downloads, documentation, references, repositories, meeting schedules, test archives, and just about anything else you need to know about ESMF.

References to ESMF source code and documentation in this tutorial correspond to ESMF Version 2.2.0.

Page 4: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

4

1 BACKGROUND, GOALS, AND SCOPE

• Overview• ESMF and the Community• Development Status• Exercises

Page 5: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

5

Motivation and Context

In climate research and NWP... increased emphasis on detailed representation of individual physical processes; requires many teams of specialists to contribute components to an overall modeling system

In computing technology... increase in hardware and software complexity in high-performance computing, as we shift toward the use of scalable computing architectures

In software …development of first-generation frameworks, such as FMS, GEMS, CCA and WRF, that encourage software reuse and interoperability

Page 6: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

6

What is ESMF?• ESMF provides tools for turning model codes

into components with standard interfaces and standard drivers.

• ESMF provides data structures and common utilities that components use for routine services such as data communications, regridding, time management and message logging.

ESMF InfrastructureData Classes: Bundle, Field, Grid, Array

Utility Classes: Clock, LogErr, DELayout, Machine

ESMF SuperstructureAppDriver

Component Classes: GridComp, CplComp, State

User Code

ESMF GOALS

1. Increase scientific productivity by making model components much easier to build, combine, and exchange, and by enabling modelers to take full advantage of high-end computers.

2. Promote new scientific opportunities and services through community building and increased interoperability of codes (impacts in collaboration, code validation and tuning, teaching, migration from research to operations)

Page 7: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

7

GEOS-5

surface fvcore gravity_wave_drag

history agcm

dynamics physics

chemistry moist_processes radiation turbulence

infrared solar lake land_ice data_ocean land

vegetation catchment

coupler

coupler coupler

coupler

coupler

coupler

coupler

• Each box is an ESMF component• Every component has a standard interface so that it is swappable• Data in and out of components are packaged as state types with user-defined fields• New components can easily be added to the hierarchical system• Coupling tools include regridding and redistribution methods

Application Example: GEOS-5 AGCM

Page 8: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

8

Why Should I Adopt ESMF If I Already Have a Working Model?• There is an emerging pool of other ESMF-based science components that you

will be able to interoperate with to create applications - a framework for interoperability is only as valuable as the set of groups that use it.

• It will reduce the amount of infrastructure code that you need to maintain and write, and allow you to focus more resources on science development.

• ESMF provides solutions to two of the hardest problems in model development: structuring large, multi-component applications so that they are easy to use and extend, and achieving performance portability on a wide variety of parallel architectures.

• It may be better software (better features, better performance portability, better tested, better documented and better funded into the future) than the infrastructure software that you are currently using.

• Community development and use means that the ESMF software is widely reviewed and tested, and that you can leverage contributions from other groups.

Page 9: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

9

1 BACKGROUND, GOALS, AND SCOPE

• Overview• ESMF and the Community• Development Status• Exercises

Page 10: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

10

Growing ESMF Customer Base

• Original ESMF applications:NOAA GFDL atmospheresNOAA GFDL MOM4 oceanNOAA NCEP atmospheres, analysesNASA GMAO models and GEOS-5NASA/COLA Poseidon oceanLANL POP oceanNCAR WRFNCAR CCSMMITgcm atmosphere and ocean

• Other groups using ESMF:NASA GISSUCLACSUNASA Land Information Systems (LIS) projectNOAA Integrated Dynamics in Earth’s Atmosphere (IDEA) project, more…

• New applications coming in during FY05 through the newly funded, ESMF-based DoD Battlespace Environments Institute (BEI):DoD Navy HYCOM oceanDoD Navy NOGAPS atmosphereDoD Navy COAMPS coupled atm-ocean DoD Air Force GAIM ionosphereDoD Air Force HAF solar windDoD Army ERDC WASH123 watershed

• More new applications will begin adopting ESMF during FY06 through the ESMF-based NASA Modeling Analysis and Prediction (MAP) Climate Variability and Change program.

• Further growth of the customer base is anticipated through development of an ESMF-based Space Weather computational environment.

Page 11: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

11

ESMF ImpactsESMF impacts a very broad set of research and operational areas that require high performance, multi-component modeling and data assimilation systems, including: • Climate prediction• Weather forecasting• Seasonal prediction• Basic Earth and planetary system research at various time and spatial scales• Emergency response• Ecosystem modeling• Battlespace simulation and integrated Earth/space forecasting• Space weather (through coordination with related space weather frameworks)• Other HPC domains, through migration of non-domain specific capabilities from ESMF – facilitated by ESMF interoperability with generic frameworks, e.g. CCA

Page 12: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

12

Open Source Development• Open source license (GPL) • Open source environment (SourceForge)• Open repositories: web-browsable CVS repositories accessible from the

ESMF website ◦ for source code◦ for contributions (currently porting contributions and performance testing)

• Open development priorities and schedule: priorities set based on user meetings, telecons, and mailing list discussions, web-browsable task lists

• Open testing: 1000+ tests are bundled with the ESMF distribution and can be run by users

• Open port status: results of nightly tests on many platforms are web-browsable• Open metrics: test coverage, lines of code, requirements status are updated

regularly and are web-browsable

Page 13: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

13

Open Source Constraints• ESMF does not allow unmoderated check-ins to its main source

CVS repository (though there is minimal check-in oversight for the contributions repository)

• ESMF has a co-located, line managed Core Team whose members are dedicated to framework implementation and support – it does not rely on volunteer labor

• ESMF actively sets priorities based on user needs and feedback• ESMF requires that contributions follow project conventions and

standards for code and documentation• ESMF schedules regular releases and meetings

The above are necessary for development to proceed at the pace desired by sponsors and users, and to provide the level of quality and customer support necessary for codes in this domain

Page 14: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

14

1 BACKGROUND, GOALS, AND SCOPE

• Overview• ESMF and the Community• Development Status• Exercises

Page 15: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

15

Latest Information

For scheduling and release information, see:

http://www.esmf.ucar.edu > Development

This includes latest releases, known bugs, supported platforms.

Task lists, bug reports, and support requests are tracked on the ESMF SourceForge site:

http://sourceforge.net/projects/esmf

Page 16: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

16

ESMF Development Status• Overall architecture is well-defined and well-accepted• Components and low-level communications stable• Logically rectangular grids with regular and arbitrary distributions

implemented• On-line parallel regridding (bilinear, 1st order conservative) completed

and optimized• Other parallel methods, e.g. halo, redistribution, low-level comms

implemented• Utilities such as time manager, logging, and configuration manager

usable and adding features• Virtual machine with interface to shared / distributed memory

implemented, hooks for load balancing implemented

Page 17: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

17

ESMF Platform Support• IBM AIX (32 and 64 bit addressing) • SGI IRIX64 (32 and 64 bit addressing) • SGI Altix (64 bit addressing) • Cray X1 (64 bit addressing)• Compaq OSF1 (64 bit addressing) • Linux Intel (32 and 64 bit addressing, with mpich and lam) • Linux PGI (32 and 64 bit addressing, with mpich) • Linux NAG (32 bit addressing, with mpich) • Linux Absoft (32 bit addressing, with mpich) • Linux Lahey (32 bit addressing, with mpich) • Mac OS X with xlf (32 bit addressing, with lam)• Mac OS X with absoft (32 bit addressing, with lam)• Mac OS X with NAG (32 bit addressing, with lam)

• User-contributed g95 support

Page 18: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

18

ESMF Distribution Summary• Fortran interfaces and complete documentation• Many C++ interfaces, no manuals yet• Serial or parallel execution (mpiuni stub library)• Sequential or concurrent execution• Single executable (SPMD) support

Page 19: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

19

Some Metrics …• Test suite currently consists of

◦ ~1200 unit tests◦ ~15 system tests◦ ~35 examples

runs every night on ~12 platforms• ~289 ESMF interfaces implemented, ~276 fully or partially tested,

~95% fully or partially tested.• ~160,000 SLOC• ~1000 downloads

Page 20: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

20

ESMF Near-Term Priorities, FY05/06• Reworked design and implementation of array / grid / field

interfaces and array-level communications • Optimized regridding and low-level communications• Grid masks and merges• Unstructured grids• Read/write interpolation weights and grid specifications

Page 21: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

21

Planned ESMF Extensions

1. Looser couplings: support for multiple executable and Grid-enabled versions of ESMF

2. Support for representing, partitioning, communicating with, and regridding unstructured grids and semi-structured grids

3. Support for advanced I/O, including support for asynchronous I/O, checkpoint/restart, and multiple archival mechanisms (e.g. NetCDF, HDF5, binary, etc.)

4. Advanced support for data assimilation systems, including data structures for observational data and adjoints for ESMF methods

5. Support for nested, moving grids and adaptive grids 6. Support for regridding in three dimensions and between different

coordinate systems7. Advanced optimization and load balancing

Page 22: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

22

1 BACKGROUND, GOALS, AND SCOPE

• Overview• ESMF and the Community• Development Status• Exercises

Page 23: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

23

Exercises1. Sketch a diagram of the major components in your

application and how they are connected.2. Introduction of tutorial participants.

Page 24: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

24

Application Diagram

Page 25: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

25

3 DESIGN AND PRINCIPLES OF ESMF

• Computational Characteristics of Weather and Climate• Design Strategies• Parallel Computing Definitions• Framework-Wide Behavior• Class Structure• Exercises

Page 26: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

26

Computational Characteristicsof Weather/Climate• Mix of global transforms and local communications

• Load balancing for diurnal cycle, event (e.g. storm) tracking• Applications typically require 10s of GFLOPS,

100s of PEs – but can go to 10s of TFLOPS, 1000s of PEs• Required Unix/Linux platforms span laptop to

Earth Simulator• Multi-component applications: component

hierarchies, ensembles, and exchanges;components in multiple contexts

• Data and grid transformations between components

• Applications may be MPMD/SPMD, concurrent/sequential, combinations

• Parallelization via MPI, OpenMP, shmem, combinations• Large applications (typically 100,000+ lines of source code)

Platforms

assim

sea iceocean

landatm

physics dycore

assim_atm

atmland

Seasonal Forecastcoupler

Page 27: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

27

3 DESIGN AND PRINCIPLES OF ESMF

• Computational Characteristics of Weather and Climate• Design Strategies• Parallel Computing Definitions• Framework-Wide Behavior• Class Structure• Exercises

Page 28: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

28

Design Strategy:Hierarchical ApplicationsSince each ESMF application is also a Gridded Component, entire ESMF applications can be nested within larger applications. This strategy can be used to systematically compose very large, multi-component codes.

GEOS-5

surface fvcore gravity_wave_drag

history agcm

dynamics physics

chemistry moist_processes radiation turbulence

infrared solar lake land_ice data_ocean land

vegetation catchment

coupler

coupler coupler

coupler

coupler

coupler

coupler

Page 29: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

29

Design Strategy: ModularityGridded Components don’t have access to the internals of other Gridded Components, and don’t store any coupling information. Gridded Components pass their States to other components through their argument list.Since components are not hard-wired into particular configurations and do not carry coupling information, components can be used more easily in multiple contexts.

atm_comp

NWP application

Seasonal prediction

Standalone for basic research

Page 30: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

30

Design Strategy: Flexibility• Users write their own drivers as well as their own Gridded Components and

Coupler Components• Users decide on their own control flow

Ocean

SeaIce

Land Coupler

Atmosphere

DATA DATA

D A T A

D A T A

Hub and Spokes Coupling

Land AtmLandCoupler Atmosphere DATA DATA Pairwise Coupling

Page 31: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

31

Design Strategy:Communication Within ComponentsAll communication in ESMF is handled within components. This means that if an atmosphere is coupled to an ocean, then the Coupler Component is defined on both atmosphere and ocean processors.

ocn_comp atm_comp

processors

atm2ocn _coupler

Page 32: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

32

Design Strategy:Uniform Communication API• The same programming interface is used for shared memory, distributed

memory, and combinations thereof. This buffers the user from variations and changes in the underlying platforms.

• The idea is to create interfaces that are performance sensitive to machine architectures without being discouragingly complicated.

• Users can use their own OpenMP and MPI directives together with ESMF communications

ESMF sets up communications in a way that is sensitive to the computing platform and the application structure

Page 33: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

33

3 DESIGN AND PRINCIPLES OF ESMF

• Computational Characteristics of Weather and Climate• Design Strategies• Parallel Computing Definitions• Framework-Wide Behavior• Class Structure• Exercises

Page 34: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

34

Elements of Parallelism: Serial vs. Parallel• Computing platforms may possess multiple processors, some

or all of which may share the same memory pools• There can be multiple threads of execution and multiple

threads of execution per processor• Software like MPI and OpenMP is commonly used for

parallelization• Programs can run in a serial fashion, with one thread of

execution, or in parallel on multiple threads of execution.• Because of these and other complexities, terms are needed

for units of parallel execution.

Page 35: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

35

Elements of Parallelism: PETs Persistent Execution Thread (PET)• Path for executing an instruction sequence• For many applications, a PET can be thought of as a

processor• Sets of PETs are represented by the Virtual Machine (VM)

class• Serial applications run on one PET, parallel applications run

on multiple PETs

Page 36: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

36

Elements of Parallelism: Sequential vs. ConcurrentIn sequential mode components run one after the other on the same set of PETs.

GridComp “Atmosphere”

GridComp “Hurricane Model”

GridComp “Ocean”

CplComp “Atm-Ocean Coupler”

LOOP Call Run

Run

Run

Run

Run

AppDriv er (“Main”)

Call Run

1 2 3 5 4 6

PETs

T i m

e

7 8 9

Page 37: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

37

Elements of Parallelism: Sequential vs. ConcurrentIn concurrent mode components run at the same time on different sets of PETs

GridComp “Atmosphere”

GridComp “Hurricane Model”

GridComp “Ocean”

CplComp “Atm-Ocean Coupler”

LOOP Call Run

Run

Run Run

Run

AppDriver (“Main”)

Call Run

1 2 3 5 4 6

PETs

T i m

e

7 8 9

Page 38: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

38

Elements of Parallelism: DEsDecomposition Element (DE) • In ESMF a data decomposition is represented as a set of Decomposition

Elements (DEs).• Sets of DEs are represented by the DELayout class.• DELayouts define how data is mapped to PETs.• In many applications there is one DE per PET.

1 2 3 5 4 6

PETs

7 8 9

1 2 3 5 4 6

DEs

7 8 9

Temperature Field T

VM with 9 PETs

1 x 9 DELay out

4 x 9 f ield T1 T10 T19 T28

T2 T11 T20 T29

T3 T12 T21 T30

T4 T13 T22 T31

T5 T14 T23 T32

T6 T15 T24 T33

T7 T16 T25 T34

T8 T17 T26 T35

T9 T18 T27 T36

Page 39: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

39

Elements of Parallelism: DEsMore complex DELayouts:• Users can define more than one DE per PET for cache blocking and chunking• DELayouts can define a topology of decomposition (i.e., decompose in both x and y)

1 2 3 5 4 6

PETs

7 8 9

10 11 12 14 13 15

DEs

16 17 18

Temperature Field T

1 2 3 5 4 6 7 8 9

VM with 9 PETs

2 x 9 DELay out

4 x 9 f ield

T1 T10

T19 T28

T2 T11

T20 T29

T3 T12

T21 T30

T4 T13

T22 T31

T5 T14

T23 T32

T6 T15

T24 T33

T7 T16

T25 T34

T8 T17

T26 T35

T9 T18

T27 T36

Page 40: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

40

Modes of Parallelism:Single vs. Multiple Executable• In Single Program Multiple Datastream (SPMD) mode the same

program runs across all PETs in the application - components may run sequentially or concurrently.

• In Multiple Program Multiple Datastream (MPMD) mode the application consists of separate programs launched as separate executables - components may run concurrently or sequentially, but in this mode almost always run concurrently

Page 41: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

41

3 DESIGN AND PRINCIPLES OF ESMF

• Computational Characteristics of Weather and Climate• Design Strategies• Parallel Computing Definitions• Framework-Wide Behavior• Class Structure• Exercises

Page 42: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

42

Framework-Wide BehaviorESMF has a set of interfaces and behaviors that hold across the entire framework. This consistency helps make the framework easier to learn and understand.

For more information, see Sections 6-8 in the Reference Manual.

Page 43: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

43

Classes and Objects in ESMF• The ESMF Application Programming Interface (API) is based on

the object-oriented programming notion of a class. A class is a software construct that’s used for grouping a set of related variables together with the subroutines and functions that operate on them. We use classes in ESMF because they help to organize the code, and often make it easier to maintain and understand.

• A particular instance of a class is called an object. For example, Field is an ESMF class. An actual Field called temperature is an object.

Page 44: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

44

Classes and Fortran• In Fortran the variables associated with a class are stored in a

derived type. For example, an ESMF_Field derived type stores the data array, grid information, and metadata associated with a physical field.

• The derived type for each class is stored in a Fortran module, and the operations associated with each class are defined as module procedures. We use the Fortran features of generic functions and optional arguments extensively to simplify our interfaces.

Page 45: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

45

3 DESIGN AND PRINCIPLES OF ESMF

• Computational Characteristics of Weather and Climate• Design Strategies• Parallel Computing Definitions• Framework-Wide Behavior• Class Structure• Exercises

Page 46: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

46

ESMF Class Structure

DELayoutCommunications

StateData imported or exported

BundleCollection of fields

GridCompLand, ocean, atm, … model

F90

Superstructure

Infrastructure

FieldPhysical field, e.g. pressure

GridLogRect, Unstruct, etc.

Data Communications

C++

RegridComputes interp weights

CplCompXfers between GridComps

UtilitiesVirtual Machine, TimeMgr, LogErr, IO, ConfigAttr, Base etc.

ArrayHybrid F90/C++ arrays Route

Stores comm paths

DistGridGrid decomposition

PhysGridMath description

Page 47: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

47

3 DESIGN AND PRINCIPLES OF ESMF

• Computational Characteristics of Weather and Climate• Design Strategies• Parallel Computing Definitions• Framework-Wide Behavior• Class Structure• Exercises

Page 48: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

48

Exercises

Following instructions given during class:• ssh to login to the Linux cluster.• Find the ESMF distribution directory.• See which ESMF environment variables are set.• Browse the source tree.

Page 49: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

49

4 CLASSES AND FUNCTIONS• ESMF Superstructure Classes• ESMF Infrastructure Classes: Data Structures• ESMF Infrastructure Classes: Utilities• Exercises

Page 50: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

50

ESMF Class Structure

DELayoutCommunications

StateData imported or exported

BundleCollection of fields

GridCompLand, ocean, atm, … model

F90

Superstructure

Infrastructure

FieldPhysical field, e.g. pressure

GridLogRect, Unstruct, etc.

Data Communications

C++

RegridComputes interp weights

CplCompXfers between GridComps

UtilitiesVirtual Machine, TimeMgr, LogErr, IO, ConfigAttr, Base etc.

ArrayHybrid F90/C++ arrays Route

Stores comm paths

DistGridGrid decomposition

PhysGridMath description

Page 51: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

51

ESMF Superstructure Classes

See Sections 12-16 in the Reference Manual.

• Gridded Component ◦ Models, data assimilation systems - “real code”

• Coupler Component◦ Data transformations and transfers between Gridded

Components• State – Packages of data sent between Components• Application Driver – Generic driver

Page 52: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

52

ESMF Components

• An ESMF component has two parts, one that is supplied by the ESMF and one that is supplied by the user. The part that is supplied by the framework is an ESMF derived type that is either a Gridded Component (GridComp) or a Coupler Component (CplComp).

• A Gridded Component typically represents a physical domain in which data is associated with one or more grids - for example, a sea ice model.

• A Coupler Component arranges and executes data transformations and transfers between one or more Gridded Components.

• Gridded Components and Coupler Components have standard methods, which include initialize, run, and finalize. These methods can be multi-phase.

Page 53: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

53

ESMF States• All data passed between Components is in the form of States

and States only• Description/reference to other ESMF data objects• Data is referenced so does not need to be duplicated• Can be Bundles, Fields, Arrays, States, or name-placeholders

Page 54: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

54

Application Driver

• Small, generic program that contains the “main” for an ESMF application.

Page 55: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

55

4 CLASSES AND FUNCTIONS• ESMF Superstructure Classes• ESMF Infrastructure Classes: Data Structures• ESMF Infrastructure Classes: Utilities• Exercises

Page 56: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

56

ESMF Class Structure

DELayoutCommunications

StateData imported or exported

BundleCollection of fields

GridCompLand, ocean, atm, … model

F90

Superstructure

Infrastructure

FieldPhysical field, e.g. pressure

GridLogRect, Unstruct, etc.

Data Communications

C++

RegridComputes interp weights

CplCompXfers between GridComps

UtilitiesVirtual Machine, TimeMgr, LogErr, IO, ConfigAttr, Base etc.

ArrayHybrid F90/C++ arrays Route

Stores comm paths

DistGridGrid decomposition

PhysGridMath description

Page 57: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

57

ESMF Infrastructure Data Classes

Model data is contained in a hierarchy of multi-use classes. The user can reference a Fortran array to an Array or Field, or retrieve a Fortran array out of an Array or Field.

• Array – holds a Fortran array (with other info, such as halo size) • Field – holds an Array, an associated Grid, and metadata• Bundle – collection of Fields on the same Grid bundled together

for convenience, data locality, latency reduction during communicationsSupporting these data classes is the Grid class, which represents a numerical grid

Page 58: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

58

Grids

See Section 25 in the Reference Manual for interfaces and examples.

• The ESMF Grid class represents all aspects of the computational domain and its decomposition in a parallel-processing environment It has methods to internally generate a variety of simple grids

• The ability to read in more complicated grids provided by a user is not yet implemented

• ESMF Grids are currently assumed to be two-dimensional, logically-rectangular horizontal grids, with an optional vertical grid whose coordinates are independent of those of the horizontal grid

• Each Grid is assigned a staggering in its create method call, which helps define the Grid according to typical Arakawa nomenclature.

Page 59: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

59

Arrays

See Section 22 in the Reference Manual for interfaces and examples.

• The Array class represents a multidimensional array. • An Array can be real, integer, or logical, and can possess up to

seven dimensions. The Array can be strided. • The first dimension specified is always the one which varies

fastest in linearized memory. • Arrays can be created, destroyed, copied, and indexed.

Communication methods, such as redistribution and halo, are also defined.

Page 60: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

60

Fields

See Section 20 in the Reference Manual for interfaces and examples.

• A Field represents a scalar physical field, such as temperature. • ESMF does not currently support vector fields, so the components of a vector

field must be stored as separate Field objects. • The ESMF Field class contains the discretized field data, a reference to its

associated grid, and metadata. • The Field class provides methods for initialization, setting and retrieving data

values, I/O, general data redistribution and regridding, standard communication methods such as gather and scatter, and manipulation of attributes.

Page 61: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

61

Bundles

See Section 18 in the Reference Manual for interfaces and examples.

• The Bundle class represents “bundles” of Fields that are discretized on the same Grid and distributed in the same manner.

• Fields within a Bundle may be located at different locations relative to the vertices of their common Grid.

• The Fields in a Bundle may be of different dimensions, as long as the Grid dimensions that are distributed are the same.

• In the future Bundles will serve as a mechanism for performance optimization. ESMF will take advantage of the similarities of the Fields within a Bundle in order to implement collective communication, IO, and regridding.

Page 62: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

62

ESMF CommunicationsSee Section 27 in the Reference Manual for a summary of

communications methods.

• Halo◦ Updates edge data for consistency between partitions

• Redistribution ◦ No interpolation, only changes how the data is decomposed

• Regrid◦ Based on SCRIP package from Los Alamos ◦ Methods include bilinear, conservative

• Bundle, Field, Array-level interfaces

Page 63: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

63

ESMF DataMap ClassesThese classes give the user a systematic way of expressing interleaving and memory layout, also hierarchically (partially implemented, rework expected)

• ArrayDataMap – relation of array to decomposition and grid, row / column major order, complex type interleave

• FieldDataMap – interleave of vector components • BundleDataMap – interleave of Fields in a Bundle

Page 64: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

64

4 CLASSES AND FUNCTIONS• ESMF Superstructure Classes• ESMF Infrastructure Classes: Data Structures• ESMF Infrastructure Classes: Utilities• Exercises

Page 65: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

65

ESMF Class Structure

DELayoutCommunications

StateData imported or exported

BundleCollection of fields

GridCompLand, ocean, atm, … model

F90

Superstructure

Infrastructure

FieldPhysical field, e.g. pressure

GridLogRect, Unstruct, etc.

Data Communications

C++

RegridComputes interp weights

CplCompXfers between GridComps

UtilitiesVirtual Machine, TimeMgr, LogErr, IO, ConfigAttr, Base etc.

ArrayHybrid F90/C++ arrays Route

Stores comm paths

DistGridGrid decomposition

PhysGridMath description

Page 66: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

66

ESMF Utilities

• Time Manager• Configuration Attributes (replaces namelists)• Message logging • Communication libraries• Regridding library (parallelized, on-line SCRIP)• IO (barely implemented)• Performance profiling (not implemented yet, may simply use

Tau)

Page 67: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

67

Time Manager

See Sections 32-37 in the Reference Manual for more information.

Time manager classes are:• Calendar• Clock • Time • Time Interval • AlarmThese can be used independent of other classes in ESMF.

Page 68: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

68

CalendarA Calendar can be used to keep track of the date as an ESMF Gridded Component advances in time. Standard calendars (such as Gregorian and 360-day) and user-specified calendars are supported. Calendars can be queried for quantities such as seconds per day, days per month, and days per year.

Supported calendars are:• Gregorian The standard Gregorian calendar, proleptic to 3/1/-4800.• no-leap The Gregorian calendar with no leap years.• Julian Day A Julian days calendar.• 360-day A 30-day-per-month, 12-month-per-year calendar.• no calendar Tracks only elapsed model time in seconds.

Page 69: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

69

Clock and AlarmClocks collect the parameters and methods used for model time advancement into a convenient package. A Clock can be queried for quantities such as start time, stop time, current time, and time step. Clock methods include incrementing the current time, and determining if it is time to stop.Alarms identify unique or periodic events by “ringing” - returning a true value - at specified times. For example, an Alarm might be set to ring on the day of the year when leaves start falling from the trees in a climate model.

Page 70: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

70

Time and Time Interval

A Time represents a time instant in a particular calendar, such as November 28, 1964, at 7:31pm EST in the Gregorian calendar. The Time class can be used to represent the start and stop time of a time integration.Time Intervals represent a period of time, such as 300 milliseconds. Time steps can be represented using Time Intervals.

Page 71: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

71

Config AttributesSee Section 38 in the Reference Manual for interfaces and examples.

• ESMF Configuration Management is based on NASA DAO’s Inpak 90 package, a Fortran 90 collection of routines/functions for accessing Resource Files in ASCII format.

• The package is optimized for minimizing formatted I/O, performing all of its string operations in memory using Fortran intrinsic functions.

Page 72: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

72

LogErrSee Section 39 in the Reference Manual for interfaces and examples.

• The Log class consists of a variety of methods for writing error, warning, and informational messages to files.

• A default Log is created at ESMF initialization. Other Logs can be created later in the code by the user.

• A set of standard return codes and associated messages are provided for error handling.

• LogErr will automatically put timestamps and PET numbers into the Log.

Page 73: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

73

Virtual Machine (VM)

See Section 41 in the Reference Manual for VM interfaces and examples.

• VM handles resource allocation• Elements are Persistent Execution Threads or PETs• PETs reflect the physical computer, and are one-to-one

with Posix threads or MPI processes• Parent Components assign PETs to child Components• The VM communications layer does simple MPI-like

communications between PETs (alternative communication mechanisms are layered underneath)

Page 74: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

74

DELayoutSee Section 40 in the Reference Manual for interfaces and

examples.

• Handles decomposition• Elements are Decomposition Elements, or DEs (decomposition

that’s 2 pieces in x by 4 pieces in y is a 2 by 4 DELayout)• DELayout maps DEs to PETs, can have more than one DE per

PET (for cache blocking, user-managed OpenMP threading) • Simple connectivity or more complex connectivity, with weights

between DEs - users specify dimensions where greater connection speed is needed

• Array, Field, and Bundle methods perform inter-DE communications

Page 75: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

75

4 CLASSES AND FUNCTIONS• ESMF Superstructure Classes• ESMF Infrastructure Classes: Data Structures• ESMF Infrastructure Classes: Utilities• Exercises

Page 76: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

76

Exercises1. On the Linux cluster, cd to $ESMF_DIR, which is the top of the ESMF distribution.2. Change directory to build_config, to view directories for supported platforms.3. Change directory to ../src and locate the Infrastructure and Superstructure

directories.4. Note that code is arranged by class within these directories, and that each class has a

standard set of subdirectories (doc, examples, include, interface, src, and tests, plus a makefile).

Web-based alternative:1. Go to the sourceforge site: http://sourceforge.net/projects/esmf2. Select Browse the CVS tree 3. Continue as above from number 2. Note that this way of browsing the ESMF source

code shows all directories, even empty ones.

Page 77: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

77

5 RESOURCES

• Documentation• User Support• Testing and Validation Pages• Mailing Lists• Users Meetings• Exercises

Page 78: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

78

Documentation• Users Guide

◦ Installation, quick start and demo, architectural overview, glossary• Reference Manual

◦ Overall framework rules and behavior◦ Method interfaces, usage, examples, and restrictions◦ Design and implementation notes

• Developers Guide◦ Documentation and code conventions◦ Definition of compliance

• Requirements Document• Implementation Report

◦ C++/Fortran interoperation strategy• (Draft) Project Plan

◦ Goals, organizational structure, activities

Page 79: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

79

User Support

• All requests go through the [email protected] list so that they can be archived and tracked

• Support policy is on the ESMF website• Support archives and bug reports are on the ESMF website -

see http://www.esmf.ucar.edu > Development

Bug reports are under Bugs and support requests are under Lists.

Page 80: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

80

Testing and Validation Pages• Accessible from the Development link on the ESMF website• Detailed explanations of system tests• Supported platforms and information about each• Links to regression test archives• Weekly regression test schedule

Page 81: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

81

Mailing Lists To Join• [email protected]

Joint specification team discussion◦ Release and review notices◦ Technical discussion◦ Coordination and planning

[email protected] information◦ Quarterly updates

[email protected] announcements◦ Annual meeting announcements

Page 82: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

82

Mailing Lists To Write• [email protected]

Project leads◦ Non-technical questions◦ Project information

[email protected] questions and comments

Page 83: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

83

Users Meetings andCommunity Meeting

Every six weeks ESMF Early Adopters meet at GFDLMeeting schedule is on the ESMF websitehttp://www.esmf.ucar.edu > Community

4th ESMF Annual Community Meeting

Yesterday here at MIT CampusSee the ESMF Website for future meeting announcements.

Page 84: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

84

5 RESOURCES

• Documentation• User Support• Testing and Validation Pages• Mailing Lists• Users Meetings• Exercises

Page 85: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

85

ExercisesLocate on the ESMF website:

1. The Reference Manual, User’s Guide and Developer’s Guide2. The ESMF Draft Project Plan3. The current task list4. The modules in the contributions repository5. The weekly regression test schedule6. Known bugs from the last public release7. The % of public interfaces tested8. The schedule of Early Adopter (Users Group) meetings9. The ESMF Support Policy10. Subscribe to the ESMF mailing lists

Page 86: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

86

6 PREPARING FOR AND USING ESMF

• Adoption Strategies• Demo• Quickstart• Exercises

Page 87: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

87

Adoption Strategies: Top Down1. Decide how to organize the application as discrete Gridded and Coupler

Components. The developer might need to reorganize code so that individual components are cleanly separated and their interactions consist of a minimal number of data exchanges.

2. Divide the code for each component into initialize, run, and finalize methods. These methods can be multi-phase, e.g., init_1, init_2.

3. Pack any data that will be transferred between components into ESMF Import and Export States in the form of ESMF Bundles, Fields, and Arrays. User data must match its ESMF descriptions exactly.

4. The user must describe the distribution of grids over resources on a parallel computer via the VM and DELayout.

5. Pack time information into ESMF time management data structures.6. Using code templates provided in the ESMF distribution, create ESMF

Gridded and Coupler Components to represent each component in the user code.

7. Write a set services routine that sets ESMF entry points for each user component’s initialize, run, and finalize methods.

8. Run the application using an ESMF Application Driver.

Page 88: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

88

Adoption Strategies: Bottom UpAdoption of infrastructure utilities and data structures can follow many different paths. The calendar management utility is a popular place to start, since there is enough functionality in the ESMF time manager to merit the effort required to integrate it into codes and bundle it with an application.

Page 89: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

89

6 PREPARING FOR AND USING ESMF

• Adoption Strategies• Demo• Quickstart• Exercises

Page 90: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

90

ESMF Demo

• Overview of ESMF Demo program

Page 91: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

91

6 PREPARING FOR AND USING ESMF

• Adoption Strategies• Demo• Quickstart• Exercises

Page 92: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

92

ESMF Quickstart

• Created when ESMF is compiled• $ESMF_DIR/quick_start top level directory• Contains a makefile which builds the quick_start application• Running it will print out execution messages to standard output• Cat the output file to see messages

Page 93: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

93

ESMF Quickstart Structure

Page 94: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

94

ESMF QuickstartDirectory contains the skeleton of a full application:• 2 Gridded Components• 1 Coupler Component• 1 top-level Gridded Component• 1 AppDriver main program• A file for setting module names• README file• Makefile• sample.rc resource file

Page 95: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

95

6 PREPARING FOR AND USING ESMF

• Adoption Strategies• Demo• Quickstart• Exercises

Page 96: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

96

Exercises

Following the User’s Guide:1. Build and run Quickstart program.2. Find the output files and see the printout.3. Add your own print statements in the code.4. Rebuild and see the new output

Page 97: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

97

7 APPLICATIONS

Users can discuss adoption of ESMF in their applications with ESMF staff.

Page 98: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

98

Answers to Section 5 Exercises Starting from http://www.esmf.ucar.edu/ :1. The Reference Manual, User’s Guide and Developer’s Guide

Downloads & Documentation -> ESMF Documentation List2. The ESMF Draft Project Plan

Publications & Talks -> ESMF Publications and Other Documents (first item)3. The current task list

Development -> Entry Point to the ESMF Source Code Repository -> Go to Sourceforge Site -> Tasks -> Core Tasks

4. The modules in the contributions repositoryCommunity -> Entry Point to the ESMF Community Contributions Repository -> Go to Sourceforge Site

5. The weekly regression test scheduleDevelopment -> Test & Validation

Page 99: Introduction to the Earth System Modeling Framework Nancy Collins nancy@ucar.edunancy@ucar.edu July 22, 2005 Climate Data Assimilation Weather

99

Answers to Section 5 Exercises

Starting from http://www.esmf.ucar.edu/ :6. Known bugs from the last public release

Downloads & Documentation -> Download ESMF v2.2.0 -> Release Notes and Known Bugs

7. The % of public interfaces testedDevelopment -> Metrics

8. The schedule of Early Adopter (Users Group) meetingsCommunity -> Early Adopter Meetings

9. The ESMF Support PolicyUser Support & Contacts -> Support Requests

10. Subscribe to the ESMF mailing listsCommunity -> Mailing Lists