Poster 1.66

An Update on CIRA’s GOES-R Proving Ground Activities Ed Szoke1,2, Renate Brummer1, Hiro Gosden1, Steve Miller1, Mark DeMaria3, Dan Lindsey and Deb Molenar3

1Cooperative Institute for Research in the Atmosphere (CIRA)2NOAA/Earth System Research Laboratory (ESRL)/Global Systems Division (GSD)

3National Environmental Satellite, Data, and Information Services, Center for Satellite Applications and Research (NESDIS/STAR)

CIRA GeoColor and Low Cloud/Fog ProductsComparison to AWIPS IR and fog imagery (1100 UTC/5 Mar 10)

AWIPS IR image AWIPS 11-3.9 micron image

GeoColor image (nighttime version)

Low cloud/fog image (nighttime version)

The GeoColor product

uses layering techniques and also

combines current GOES imagery with background imagery

(NPOESS in the GOES-R era) to show the city lights at night. Fog and low clouds are given an orangish color. In the low cloud/fog product

(also know as the “shortwave albedo

product”) low clouds/fog are white at all times.

AWIPS Visible image at 1831 UTC AWIPS IR image at 1831 UTC

clouds (yellow/light green)

snow = white

yellow = lower,

liquid phase clouds

magenta = higher,

ice phase clouds

snow = white,

bluish-white

Cloud Layers and Snow Cover Discriminator Product at 1807 UTC Cloud/snow Discriminator Product at 1810 UTC

OverviewThe purpose of the GOES-R Proving Ground (PG) is to have forecasters evaluate potential products that will be available when GOES-R is launched in 2016. CIRA is an active partner along with CIMSS and SPoRT. We interact with a number of National Weather Service (NWS) Weather Forecast Offices

(WFOs), and National Centers. Products are generated from current satellite imagery (GOES and MODIS) and computer-generated imagery.

CIRA PG Products (see http://rammb.cira.colostate.edu/research/goes-r/proving_ground/cira_product_list/

)At this site you can see all our products in real-time, plus there is a 4-

week archive for each product. Also, every product has a concise Product Description that describes how the product is made, what it is

used for, and how it relates to the future GOES-R product.

Synthetic imagery (created from the NSSL WRF-ARW model run at 4 km horizontal grid resolution) makes it possible to create imagery for

bands/products not yet available, with better time resolution than MODIS.

Low-level reflectivity at 0900 UTC 18 Dec 2010

ORI product valid at 0900 UTC 18 Dec 2010

ORI product overlaid with AWIPS

topography imge

MODIS Blowing Dust Products

Example from the Lubbock TX area on 20 Feb 2012. The “pink” blowing dust MODIS-based

product from the new Suomi NPP satellite displayed the dust in dramatic detail for this

deadly dust storm.

NPP VIIRS at 1940 UTC for pink dust product

CIRA Cloud/Snow Discriminator ProductsComparison to AWIPS visible and IR imagery for clouds over

snow on 5 Jan 2011

Synthetic Imagery Products

True color visible image at 1940 UTC

Blowing dust “yellow” product at 1747 UTC

The Orographic Rain Index (ORI)

product is an example of a derived

product that is created by combining

the CIRA blended Total Precipitable

Water product with short-range forecasts

from the GFS to produce an index

related to orographically

induced precipitation.

NWS forecaster Chad Gimmestad (WFO BOU) studying the GeoColor product.Photo by Will vonDauster

The GOES-R Proving Ground strongly encourages forecaster feedback. Based on the forecaster’s comments the PG product developers can change and improve their products. Feedback is being provided verbally, via on-line forms, via comments in shift logs, via email, by using BLOGS, and by mentioning the performance of a product in AFDs (see figure below).

Forecaster FeedbackORI Products

AWIPS visible AWIPS IR (10.7 microns)

Simulated Band 13 (10.35 microns – IR) Simulated Band 9

Simulated Band 10 Simulated Fog imagery

1400 UTC/3 Oct 2012

All simulated images are 14-h forecasts valid 1400 UTC/3 Oct 2012