Tag: Numerical Modeling and Data Assimilation

Isaac Moradi smiles for the camera, wearing a red gridded button-up and a red tie

Moradi is Co-I of NASA Proposal Developing A New Satellite Instrument

November 11, 2021

Traditional earth-observing microwave instruments utilize heterodyne receivers for measuring the radiance emitted by the earth and its atmosphere. These instruments which indirectly measure atmospheric temperature, water vapor, clouds, as well as surface information, have played an important role in improving the NWP weather forecasts and reanalyses, such as MERRA generated by GMAO. However, because of limitations in current microwave technologies in simultaneously processing an ultra-wide band (20-200 GHz) at high spectral resolutions, the number of channels for the current microwave instruments is very limited (e.g., 22 channels for ATMS and less for most other MW instruments).

ESSIC Holds 1st AI/ML Workshop: On the Pathway to a Digital Earth

October 28, 2021

Last month, researchers from the NASA Goddard Space Flight Center (GSFC) and the University of Maryland (UMD) Earth System Science Interdisciplinary Center (ESSIC) gathered to explore the challenges and opportunities in applying machine learning and artificial intelligence in Earth systems science.

Moradi Speaks to Howard County Interns

October 27, 2021

ESSIC Research Scientist Isaac Moradi presented a talk on October 19, 2021 as part of the Howard County High Schools G/T Intern/Mentor program on the Earth and Space Science fundamentals.

Moradi Speaks on Tropical Cyclones at International Conference

October 18, 2021

Isaac Moradi (ESSIC/GMAO) presented a talk entitled “Assimilation of microwave radiances over the rainbands of tropical cyclones” in the WCRP-WWRP Joint Symposium on Data Assimilation and Reanalysis.

UV Surface Reflectance from OMPS Nadir Mapper (NM) Radiance—Simulation and Assimilation

October 1, 2021

ESSIC/CISESS scientists Christopher Grassotti and Xingming Liang are co-authors in a recently published study that documents the first ultraviolet radiance assimilation for atmospheric ozone in the troposphere and stratosphere. The paper, titled “Experimental OMPS Radiance Assimilation through One-Dimensional Variational Analysis for Total Column Ozone in the Atmosphere”, was published in Remote Sensing and includes co-authors from the NOAA/NESDIS Center for Satellite Applications and Research.

Remote Sensing of Evapotranspiration for Global Drought Monitoring

October 1, 2021

ESSIC/CISESS scientists Li Fang, Jifu Yin, Mitchell Schull, and Jicheng Liu collaborated on a chapter in Global Drought and Flood: Observation, Modeling, and Prediction titled “Remote Sensing of Evapotranspiration for Global Drought Monitoring”.

Congratulations to Xin-Zhong Liang, Fellow of AMS

August 24, 2021

Congratulations to Xin-Zhong Liang, newly elected Fellow of the American Meteorological Society (AMS). This honor is an apt recognition of his vigorous multidisciplinary research efforts and notable achievements.

Major Step for UMD’s DAWN Project as Agricultural Decision-Support Website Launches

July 27, 2021

The Dashboard for Agricultural Water Use and Nutrient Management (DAWN) launched its website today. This marks the latest development of the UMD led project to provide farmers and water managers across the Corn Belt with the most relevant and reliable information for farm-level decision-making.

Two flat images of the Earth, underneath it says "Abstracts: Requested by August 1, 2021

Announcing ESSIC’s 1st AI/ML Workshop: On the Pathway to a Digital Earth

July 12, 2021

To embrace the rapidly evolving field of AI/ML, ESSIC launches the ESSIC AI Forum and a one-day workshop: “On the Pathway to a Digital Earth”.

Moradi to Assimilate Measurements from Active Spaceborne Radars

May 10, 2021

ESSIC/CISESS Associate Research Scientist Isaac Moradi is the PI of a proposal selected by NASA ROSES to assimilate measurements from active spaceborne radars into NASA GEOS model. The project will benefit from CloudSat CPR and GPM DPR observations and will be conducted in collaboration with Co-Is from NASA Global Modeling and Assimilation Office and the Mesoscale Atmospheric Processes Laboratory.