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Monday, March 30, 2026

New Chemistry for the Unified Forecasting System

CISESS Scientists Kai Yang (AOSC), Zachary Moon and colleagues have created a generalized global configuration to NOAA’s official Unified Forecasting System (UFS) to better simulate the full tropospheric and stratospheric chemistry needed for global air quality applications. The new Configurable ATmospheric Chemistry (CATChem) library and modeling component is described in their paper published in the Journal of Advances in Modeling Earth Systems.
Friday, March 20, 2026

LEO vs. GEO Satellite Tropospheric NOx Measurements

CISESS Consortium Scientist Fangjun Li (South Dakota State University) is a co-author on a new study of space-based measurements of ground NOx in the United States, published in the Journal of Geophysical Research: Atmospheres.

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Results: 146 Articles found.
jame.v18.3.cover
JAMES
Mar 30, 2026 11:28 AM

New Chemistry for the Unified Forecasting System

CISESS Scientists Kai Yang (AOSC), Zachary Moon and colleagues have created a generalized global configuration to NOAA’s official Unified Forecasting System (UFS) to better simulate the full tropospheric and stratospheric chemistry needed for global air quality applications. The new Configurable ATmospheric Chemistry (CATChem) library and modeling component is described in their paper published in the Journal of Advances in Modeling Earth Systems.

 
JGR-A_Cover
JGR-A
Mar 20, 2026 12:00 PM

LEO vs. GEO Satellite Tropospheric NOx Measurements

CISESS Consortium Scientist Fangjun Li (South Dakota State University) is a co-author on a new study of space-based measurements of ground NOx in the United States, published in the Journal of Geophysical Research: Atmospheres.

 
CHRS_logo
UCI CHRS
Mar 13, 2026 09:53 AM

Updates to a Global Precipitation Product

In a new journal article, CISESS Consortium Institute members Phu Nguyen, Kuo-Lin Hsu, and Soroosh Sorooshian from the University of California Irvine (UCI), along with colleagues from UCI’s Center for Hydrometeorology and Remote Sensing, present the new version of the original Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR) near-global precipitation dataset covering almost four decades.​

 
 
Results: 146 Articles found.
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