assimilating moisture information from gps dropwindsondes into the noaa global forecast system a...
TRANSCRIPT
Assimilating Moisture Information from GPS Dropwindsondes into the NOAA
Global Forecast SystemA NOAA/Joint Hurricane Testbed Project
Jason P. Dunion1 and Sim D. Aberson2 1 University of Miami/RMSAS/CIMAS-NOAA/AOML/HRD
2 NOAA/AOML/HRD
MotivationAssessing atmospheric moisture and predicting its affect
on TC intensity…no easy task.
The NOAA GFS model does not currently assimilate humidity information from GPS dropsondes
Project Objectives
•Begin assessing the impact of this data on GFS forecasts of TC track and intensity
•Perform detailed assessments of the impact of GPS dropsonde humidity data on GFS TC forecasts of track & intensity
•Perform parallel runs of the GFS model that assimilate dropsonde moisture information from NOAA G-IV missions
•Assess how effectively the GFS is able to represent dry layers such as the Saharan Air Layer
Year 1:
Year 2:
•Assess the feasibility of performing targeted observations of humidity to improve GFS forecasts
2005 Atlantic Hurricane Season
**Note to self…pick an El Nino year next time**
G-IV Missions: 10 TCs, 50 missions**
Project Methodology
•In order to be assimilated into the GFS, GPS dropsondes must be transmitted in real - time from the aircraft
•Run GFS parallel runs at lower resolution (T254) for Year 1 assessments
•Compare T254 parallel runs with T254 operational runs for “apples to apples” comparisons
Project Challenges
•“Old dog new trick” syndrome: teaching a satellite guy how to run a global model
•Setting up the code at NCEP to run the parallel GPS dropsonde humidity runs (never been done)•GFS parallel run forecast failures
-recently corrected bug in the radiation code: dry profiles…>…can generate bad profile
temperatures…>…model bombs
-some runs still failing (e.g. Cindy and Dennis)
0
100
200
300
400
500
600
700
800
900
1000
12 24 36 48 60 72 84 96 108 120
Forecast Time (hours)
Tra
ck F
ore
cast
Err
or
(km
)T254 (operational)
T254 (humidity)
26# of cases 25 24 21 19 16 14 11 8 4
0
5
10
15
20
25
30
35
40
45
50
12 24 36 48 60 72 84 96 108 120
Forecast Time (hours)
Inte
nsi
ty F
ore
cast
Err
or
(kt)
T254 (operational)
T254 (humidity)
Current Storm CatalogueArlene; Emily, Irene; Katrina (12 NOAA G-IV missions)
Irene (08-09 September 2005)
Katrina (25-27 August 2005)
300
400
500
600
700
800
900
1000
0 10 20 30 40 50 60 70 80 90 100
RH (% )
Pre
ssu
re (
hP
a)
GPS Sonde
Jordan
Drop #21
300
400
500
600
700
800
900
1000
0 10 20 30 40 50 60 70 80 90 100
RH (% )
Pre
ssu
re (
hP
a)
GPS Sonde
Jordan
GFS (T254oper)
GFS (T254hum)
Drop #21
300
400
500
600
700
800
900
1000
0 10 20 30 40 50 60 70 80 90 100
RH (% )
Pre
ssu
re (
hP
a)
GPS Sonde
Jordan
GFS (T254oper)
GFS (T254hum)
Drop #10
Hurricane Rita22 Sept 2005 00 UTC
G-IV Mission 050921n
300
400
500
600
700
800
900
1000
0 10 20 30 40 50 60 70 80 90 100
RH (% )
Pre
ssu
re (
hP
a)
GPS Sonde
Jordan
Drop #10
Impact of GPS Sonde Moisture on the GFSTS Irene 08 Aug 2005 0000 UTC
Saharan Air Layer Experiment (SALEX) G-IV Mission 050807n
SAL 3SAL 2
SAL 1
AEW 1
Irene
Polar 1
551010 1515
20202525
11
300
400
500
600
700
800
900
1000
0 10 20 30 40 50 60 70 80 90 100
RH (%)
Pre
ssu
re (
hP
a)
GPS Sonde
Jordan
Drop #19
300
400
500
600
700
800
900
1000
0 10 20 30 40 50 60 70 80 90 100
RH (%)
Pre
ssu
re (
hP
a) GPS Sonde
Jordan
GFS (T254oper)
GFS (T254hum)
Drop #19
300
400
500
600
700
800
900
1000
0 10 20 30 40 50 60 70 80 90 100
RH (%)
Pre
ssu
re (
hP
a)
GPS Sonde
Jordan
Drop #2
Summary of Findings•Humidity information from G-IV GPS dropsondes can significantly affect the T254 GFS (EMC was smart no to just throw the switch)
•Early results: the GPS dropsonde humidity data doesn’t have a strong negative OR positive impact on GFS forecasts of track/intensity
• For some individual cases (e.g. Irene and Katrina), the GPS dropsonde humidity information had a significant impact on the GFS track forecast
• The GFS analysis of humidity appears to be significantly affected by the GPS dropsonde humidity. This difference appears to grow with successive forecast times.
Future Work
•Continue running the remaining 2005 cases
•Test the impact of the GFS operational vs GPS dropsonde humidity fields on SHIPS (GFDL?) intensity forecasts
•Assess whether targeted observing strategies can optimize GPS dropsonde humidity impacts on the GFS