Observing System Experiments (OSEs) are used to quantify the contributions
to the forecast made by conventional in-situ and remotely sensed satellite data.
Figure 1 shows the global mid-latitude (20° - 80° Northern and Southern Hemisphere)
average 500 hPa geopotential height anomaly correlation (AC) scores for the control
(black curve) and two experiments (NOCONV-green curve and NOSAT-red curve) through
forecast day 7. The summer results are in Fig. 1a, the winter results in Fig. 1b.
Scores lower than the control values indicate a reduction in forecast skill when
the data are removed. Note the large degradation in the forecasts when the
satellite data are deleted. The bottom portions of Figure 1 illustrate the
application of statistical significance tests.
The results are a dramatic demonstration of the importance of satellite data in NWP.
Eliminating all conventional observations results in a decrease of 6 hours in forecast
skill at day 7, but eliminating all satellite data results in an almost 3 day
decrease in skill. In other words, the addition of the satellite data makes the
7 day forecast about as skillful as the 4 day forecast without satellite data.
(Jim Jung, CIMSS/JCSDA)
See the full article in the March 2013 Quarterly Newsletter
More than 130 scientists from the JCSDA and its academic and private sector partners,
including principal investigators, program managers and JCSDA management/staff,
participated in the 10th Annual JCSDA Workshop on Satellite Data Assimilation,
at NOAA's new Center for Weather and Climate Prediction on the research campus
of the University of Maryland in College Park, October 10 - 12, 2012. The plenary
sessions were held in the building's magnificent new auditorium with its
state-of-the-art audio-visual and connectivity infrastructure.
The purpose of these annual workshops is to review the ongoing and planned
scientific development sponsored by the Center, and to plan and coordinate
future efforts. The Joint Center supports scientific development work with
proposal-based, internally directed funds as well as with external grants
awarded via a competitive process open to the broader scientific community.
In addition, JCSDA individual partners undertake their own research
contributing to the Center's objectives.
The 2nd Joint Center for Satellite Data Assimilation Summer
Colloquium was held in Santa Fe, NM from July 24 - August 3,
2012. The objective of these Colloquia is to foster the
education of the next generation of data assimilation scientists.
Eighteen graduate students and recent post-docs, as well as one
more senior scientist, took part, selected by the JCSDA Executive
Team from a pool of 27 applicants. A substantial fraction of the
students have research interests beyond weather, including air
quality and aerosols, climate, oceans, and ecosystem production.
The purpose of the annual JCSDA science workshop is to review the ongoing and planned scientific development sponsored by the NASA-NOAA-Navy-Air Force Joint Center for Satellite Data Assimilation, and to coordinate these efforts. To keep a sharp focus on the JCSDA science activities and to review technical progress of sponsored activities, participation in the science workshop is by-invitation-only. Two full and one-half days will be devoted to the meeting with plenty of time for discussions, interactions and scientific exchanges, both among scientists from all JCSDA partners and with JCSDA managers and decision-makers.
The JCSDA would like to bring your attention to the upcoming data assimilation events: the 2013 Joint DTC-EMC-JCSDA Gridpoint Statistical Interpolation (GSI) Tutorial and GSI Workshop, scheduled for the week of Aug 5-8, 2013 at the National Oceanic and Atmospheric Administration (NOAA) Center for Weather and Climate Prediction (NCWCP), College Park, Maryland.
This marks the third annual GSI Tutorial and the second GSI Workshop since the GSI became a community model in 2009. It will be the first time the JCSDA is co-hosting these two events with the Developmental Testbed Center (DTC) and the National Centers for Environmental Prediction (NCEP) Environmental Modeling Center (EMC) on-site at NOAA, where the primary GSI developers are located.
GSI is the operational data assimilation (DA) system being used by various national operational and research centers, including NOAA and the National Aeronautics and Space Administration (NASA). It is a three-dimensional variational DA system and has been extended run with advanced features, including the hybrid ensemble-variational data assimilation technique and the four dimensional DA framework.
External Research Opportunities
One section of the recently released NASA Research Announcement on
Research Opportunities in Space and Earth Sciences (ROSES) -
2013 solicits proposals in support of the JCSDA.
Research and development proposals are sought, from external investigators,
in the following priority areas in global models or data assimilation
systems used by the JCSDA partner organizations:
The JCSDA solicitation may be found in the NASA Research Announcement
(NRA) on NASA Data for Operation and Assessment
in the link to A.33 NASA Data for Operation and Assessment.
- Developments to facilitate assimilation of cloud- and/or
rain-affected radiances from CrIS; and preparatory work
for assimilation of GPM observations.
- Assimilation of soil moisture observations from SMOS in preparation for the launch of SMAP.
- Aerosol assimilation.
- Data impact study for new MISR winds product.
- Assimilation of satellite data in JCSDA partner ocean data assimilation systems.
Due dates for letters of intent and full proposals may be found in the links to Tables 2 and 3
in the NRA.
For additional information, please contact:
Earth Science Division
Science Mission Directorate
National Aeronautics and Space Administration
Washington, DC 20546-0001
Telephone: (202) 358-0860