Advancing Earth System Monitoring
NOAA’s Modeling, Analysis, Predictions, and Projections (MAPP) Program is funding five new monitoring projects (six grants, two other awards) including $667,000 initially and $2.24 million over three years following a highly competitive funding competition. One project (two grants) is funded collaboratively with the Atmospheric Chemistry, Carbon Cycle, and Climate (AC4) program.
Monitoring of the climate system is complex, requiring state-of-the-art assimilation capabilities as well as the use of all available sources of data. MAPP supports investment in monitoring and assimilation specifically to advance drought capabilities -- better characterizing drought through monitoring of land surface states. Furthermore, MAPP has invested in monitoring of ocean, sea ice, and atmospheric conditions.
In FY 2018, the MAPP Program, in partnership with the AC4 program and the National Environmental Satellite, Data, and Information Service/JPSS Center for Satellite Applications and Research (STAR) Programs, is funding projects targeting new or experimental DA-based approaches to monitoring products.
The five new projects supported by MAPP, AC4, and JPSS funding in FY18 include:
- “Advancing the Effectiveness and Efficiency of GLDAS Assimilation of JPSS Land Data Products for NCEP NWP and Drought Monitoring Operations”
- PI: Xiwu Zhan, NOAA/NESDIS/STAR
- “Joint NOAA-NASA Development of a Data Assimilation System for Aerosol Reanalysis and Forecasting”
- PI: Mariusz Pagowski, University of Colorado, Boulder
- Co-PI: Cheng-Hsuan Lu, SUNY-Albany
- “Multi-Platform CO data assimilation for chemistry climate interaction and air quality prediction”
- PI: Benjamin Gaubert, UCAR
- Co-PI: Sourish Basu, University of Colorado, Bounder
- “Near-real time data assimilation for land vegetation and carbon cycle using JPSS space-based observations and in-situ data”
- PI: Ning Zeng, University of Maryland, College Park
- Daryl Kleist, NOAA/NCEP/EMC
- “Towards an evolutionary data assimilation system: the value of JPSS Land data in drought monitoring”
- PI: Hamid Moradkhani, University of Alabama