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2011 - Cooperative Institute for Research in Environmental Sciences ...

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the community HWRF is per<strong>for</strong>m<strong>in</strong>g as well as operational<br />

HWRF, enabl<strong>in</strong>g a transition of the community code to NCEP<br />

<strong>for</strong> the <strong>2011</strong> hurricane season.<br />

The community HWRF model has been upgraded to<br />

conta<strong>in</strong> the capabilities of the 2010 operational model<br />

and of the <strong>2011</strong> operational basel<strong>in</strong>e (a start<strong>in</strong>g po<strong>in</strong>t <strong>for</strong><br />

develop<strong>in</strong>g the <strong>2011</strong> operational model). Extensive tests<br />

have been conducted to show that the <strong>for</strong>ecasts produced<br />

with the community model have similar average <strong>for</strong>ecast<br />

skill as those generated at NOAA NCEP; an exact match is<br />

not expected due to differences <strong>in</strong> computer plat<strong>for</strong>m. The<br />

results from these tests have been made available at http://<br />

verif.rap.ucar.edu/eval/hwrf_hnr2_hr20/, where a f<strong>in</strong>al<br />

report is posted.<br />

This extensive test, which employed 1,190 cases from 53<br />

storms of the North Atlantic and Eastern North Pacific<br />

bas<strong>in</strong>s <strong>for</strong> the 2008, 2009 and 2010 seasons, was the first<br />

comprehensive hurricane test conducted by the DTC, and<br />

was also used to qualify DTC’s functionally similar test<strong>in</strong>g<br />

and evaluation <strong>in</strong>frastructure.<br />

The community code has been transitioned to be used<br />

at NCEP <strong>for</strong> the <strong>2011</strong> hurricane season, <strong>in</strong>dicat<strong>in</strong>g that the<br />

research and operational communities are now us<strong>in</strong>g the<br />

same code base, which facilitates the transition of new<br />

developments to operations.<br />

Figure 1: Mean and 95% confidence <strong>in</strong>tervals of tropical cyclone position<br />

errors (nautical miles) as a function of <strong>for</strong>ecast lead time (hours) <strong>for</strong> two<br />

configurations of the <strong>2011</strong> basel<strong>in</strong>e of the HWRF model. HNR2 (black) is<br />

configured from the community HWRF model and run by the DTC. HR20<br />

(red) is a correspond<strong>in</strong>g run done by NOAA/NCEP. Both configurations<br />

show that track errors <strong>in</strong>crease l<strong>in</strong>early with time from near zero to over 250<br />

nm at the five-day <strong>for</strong>ecast. The <strong>for</strong>ecasts from the two configurations are<br />

statistically <strong>in</strong>dist<strong>in</strong>guishable, <strong>in</strong>dicat<strong>in</strong>g that the operational model has<br />

been adequately ported to the community code repositories and qualify<strong>in</strong>g<br />

the DTC functionally similar test<strong>in</strong>g <strong>in</strong>frastructure.<br />

Milestone 2. Ma<strong>in</strong>ta<strong>in</strong> the code repositories <strong>for</strong> Gridpo<strong>in</strong>t<br />

Statistical Interpolation (GSI) and Hurricane-Weather<br />

<strong>Research</strong> and Forecast<strong>in</strong>g model (HWRF) and provide user<br />

support <strong>for</strong> both codes (helpdesk, website, code distribution,<br />

and documentation).<br />

Dur<strong>in</strong>g the last year, the DTC has provided user support<br />

<strong>for</strong> both the HWRF model and the GSI. GSI and HWRF<br />

have more than 300 and 170 registered users, respectively.<br />

Approximately 30 questions are answered by the email<br />

helpdesk <strong>for</strong> each system every month.<br />

GSI v3 was released, and work has been done toward<br />

the HWRF v3.3a release planned <strong>for</strong> July <strong>2011</strong>. The users’<br />

guide, websites (http://www.dtcenter.org/com-GSI/users/<br />

and http://www.dtcenter.org/HurrWRF/users/),<br />

case studies and tutorial <strong>in</strong>structions were updated <strong>for</strong><br />

both systems. Tutorials <strong>for</strong> the HWRF and GSI systems<br />

were offered <strong>in</strong> April and June <strong>2011</strong>, respectively.<br />

Ma<strong>in</strong>tenance of the community GSI and HWRF repositories<br />

cont<strong>in</strong>ued to transition all operational upgrades to the<br />

community code and to <strong>in</strong>corporate the community code<br />

onto NOAA NCEP operations. This process ensures that<br />

the code used by the academic and operational communities<br />

rema<strong>in</strong>s connected, which facilitates transfer of new<br />

research to operations.<br />

Students and <strong>in</strong>structors of the April <strong>2011</strong> Hurricane WRF Tutorial.<br />

GSD-06 <strong>Environmental</strong> In<strong>for</strong>mation Systems<br />

FEDERAL LEAD: PATRICIA MILLER<br />

CIRES LEAD: LEON BENJAMIN<br />

NOAA Goal 3: Weather and Water<br />

Project Goal: Develop <strong>in</strong><strong>for</strong>mation systems that deliver atmospheric<br />

observation data and environmental products to users<br />

of weather, water and climate <strong>in</strong><strong>for</strong>mation.<br />

Milestone 1. Complete F<strong>in</strong>al Operat<strong>in</strong>g Capability of the<br />

Meteorological Assimilation Data Ingest System (MADIS) at<br />

the National Weather Service.<br />

MADIS <strong>in</strong>gests data files from NOAA data sources and<br />

non-NOAA data providers, decodes the data and then<br />

encodes all of the observational data <strong>in</strong>to a common <strong>for</strong>mat<br />

with uni<strong>for</strong>m observation units and time stamps. Qualitycontrol<br />

checks<br />

are conducted,<br />

and the <strong>in</strong>tegrated<br />

data<br />

sets are stored<br />

<strong>in</strong> the MADIS<br />

database with<br />

a series of flags<br />

<strong>in</strong>dicat<strong>in</strong>g the<br />

quality of the<br />

observation<br />

from a variety<br />

of perspectives (e.g., temporal consistency and spatial consistency),<br />

or more precisely, a series of flags <strong>in</strong>dicat<strong>in</strong>g the<br />

results of various quality-control checks.<br />

The completion of the F<strong>in</strong>al Operat<strong>in</strong>g Capability (FOC) of<br />

MADIS at the National Weather Service (NWS) is <strong>in</strong> progress.<br />

Transition to the NWS <strong>in</strong>cludes three major milestones:<br />

start of transition (Sept. 15, 2008), Initial Operat<strong>in</strong>g Capability<br />

(IOC) (completed Sept. 30, 2010) and Full Operat<strong>in</strong>g<br />

Capability (FOC). At IOC MADIS has a primary system<br />

CIRES Annual Report <strong>2011</strong> 97

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