Preliminary demonstration of JCSDA readiness for JPSS-2 ATMS

The JPSS-2 was successfully launched November 10, 2022.  Pre-Beta data from the ATMS sensor was released by NOAA to early adopters beginning 15Z on 21Nov2022.  Data pulls began at JCSDA on November 22,  and the results were produced in an automated cycling framework beginning on November 28.  With the successful early work of the calibration and validation team, the JCSDA implemented near real time monitoring of the ATMS sensor 18-days post launch.   Early analysis has focused on the first-guess departures of the observations from ATMS NOAA-21 against simulations from the NOAA Unified Forecast System (UFS) operational model background obtained via Amazon Web Services (AWS) S3 buckets. ATMS radiance simulation uses the Community Radiative Transfer Model (CRTM).  The results of this are shown on the demonstration page (https://demo.jcsda.org).  


The preliminary analysis shows no significant anomalous or unexpected behavior.  We look forward to these and further examinations leading to a rapid promotion of ATMS NOAA-21 (JPSS-2) from provisional status.


Thanks:  This was facilitated by approval of early adopter status for JCSDA, for which we would like to thank Lihang Zhou from the JPSS Program Office, Steve Milinovich of NOAA/CLASS, and Ninghai Sun and Quanhua (Mark) Liu of NOAA/NESDIS/STAR.   We would also like to thank Andrew Collard and Emily Liu of NOAA/NWS for their recommendations on preliminary examination of the data. 


JCSDA Announces the Second Public Release of JEDI-SkyLab

The JCSDA is pleased to announce the release of SkyLab 2.0!


JCSDA SkyLab 2.0 is the second roll-up release that provides integrated Earth System Data Assimilation capability, via a unified end-to-end system that includes a single code build, workflow, data store, and diagnostics dashboard https://skylab.jcsda.org. Advanced capabilities are demonstrated for multiple components of the Earth System: atmosphere, ocean, sea-ice, soil moisture, snow, and composition. 


The main Skylab upgrades for release 2.0 include:
Atmosphere-land experiment: non-cycling EDA with FGAT-3DEnVar. More observation types (Synop, METAR, ASCAT, CrIS, IASI, Commercial GNSS-RO). Satellite bias correction. Upgrade to CRTM 2.4.
Marine experiment: non-cycling 3DVar. New instruments (sea ice concentration retrievals, and insitu temperature and salinity profiles)
Composition experiment: H(x) monitoring. New observations (TROPOMI NO2, and MOPITT CO, Aerosol Optical Depth from VIIRS and MODIS)
Support extended to support NOAA Orion, NASA Discover, University of Wisconsin S4, and AWS AMI.

SkyLab has been developed by the JCSDA with contributions from its Partner Agencies in NOAA, NASA, the US Air Force, and the US Navy.

Links to the code, release notes, and tutorials can be found on www.jcsda.org/jediskylab 

JCSDA Announces the First Public Release of JEDI-SkyLab

JCSDA Announces the First Public Release of JEDI-SkyLab

The JCSDA is pleased to announce the release of JEDI SkyLab 1.0

JEDI-SkyLab provides the community with the first integrated Earth System Data Assimilation capability, via a unified end-to-end system that includes a single code build, workflow, data store, and diagnostics dashboard. Initial capabilities are demonstrated for multiple components of the Earth System: atmosphere, ocean, soil moisture, snow, and aerosols.

JCSDA Announces the First Public Release of JEDI-MPAS

JCSDA Announces the First Public Release of JEDI-MPAS

The JCSDA is excited to announce the first public release of JEDI-MPAS to the community.

JEDI-MPAS is a multi-component software package that provides everything that is needed to run data assimilation applications for the atmospheric core of the Model for Prediction Across Scales (MPAS). The National Center for Atmospheric Research (NCAR) and the JEDI core team jointly develop JEDI-MPAS.

Global/Regional Unified MPAS Data Assimilation Realized With JEDI

Since 2018, a group of Scientists and Engineers at the Mesoscale and Microscale Meteorology (MMM) Laboratory of the National Center for Atmospheric Research (NCAR) have been developing a global data assimilation (DA) system for the Model for Prediction Across Scales – Atmosphere (MPAS-A) within the software framework of the Joint Effort for Data assimilation Integration (JEDI).

Global JEDI-MPAS DA development is still underway as part of a US Air Force funded project named “PANDA-C” (Prediction AND Assimilation for Cloud) and in collaboration with JCSDA’s JEDI core team.

Dr. Wei Han Won Best Oral Presentation at ITSC-23

Dr. Wei Han is currently a UCAR/UCP/JCSDA employee and visiting scientist at the UW-SSEC focusing on GIIRS evaluation and JEDI.

He has developed a fast and accurate spectral shift estimation and correction algorithm and found the root cause of the GIIRS diurnal and seasonal spectral shift, which will be beneficial for future GeoHIS sensor development, data monitoring, and assimilation.