Data Assimilation & Prediction

Projects

  • Evaluation of Small-Satellite Architectures to Address the Future Needs of the NOAA Enterprise and its Stakeholders

    The goal of this research is to explore quick and agile methodologies to entrain small-satellites that have limited lifetimes into the NOAA processing stream.   The goal is to develop workflows that would allow NOAA, once it has identified an upcoming mission, to work with partners to ingest, calibrate, validate, and exploit these data in a minimum amount of time. The objective is twofold in that it would allow NOAA to better exploit upcoming constellations of very small satellites that have a very limited lifetime, as well as help NOAA assess the full utility of some small constellations of satellites being considered by the NOAA Satellite Observing System Architecture (NSOSA) study team.


  • Enabling Cloud Condensate Cycling for All-Sky Radiance Assimilation in HWRF

    NOAA’s operational HWRF excludes assimilation of cloudy and precipitation affected satellite radiances. Instead, clear-sky radiances are assimilated. Since clouds are part of the dynamics of hurricane processes, subsequent neglect of clouds during a data assimilation process may have adverse consequences to the prediction of hurricane track and intensity. One main goal of the proposed research aims to improve hurricane forecasts by creating an improved initial state via enabling cloud condensate cycling in the HWRF system in order to facilitate the assimilation of all-sky satellite radiances.


  • Establishing Links between Atmospheric Dynamics and Non-Gaussian Distributions and Quantifying Their Effects on Numerical Weather Prediction

    This project is a continuation of a previous NSF-supported research project, “Analyzing the Impacts of Non-Gaussian Errors in Gaussian Data Assimilation Systems.” The goal of this project is to address several different aspects about how non-Gaussian distributed errors affect data assimilation and retrieval systems.


  • Advancing littoral zone aerosol prediction via holistic studies in regime-dependent flows

    This project takes a multi-faceted, integrated approach to understanding and addressing significant forecasting challenges of atmospheric aerosol in the coastal zone impacting the characteristics of electro/optical (E/O) propagation.


  • Data assimilation of GLM observations in HWRF/GSI system

    In this research we plan to exploit the unique capabilities of the Geostationary Lightning Mapper (GLM) instrument through data assimilation with the NOAA Hurricane WRF operational system. We propose to add the GLM assimilation capability to the HWRF data assimilation system, which is based on the hybrid Gridpoint Statistical Interpolation (GSI) algorithm. The new HWRF/GSI system with the GLM assimilation capability will be evaluated in detail. Given high spatiotemporal coverage of GLM over open oceans, this research represents a great opportunity for potential improvement of the NOAA operational HWRF forecasts, in particular the prediction of rapid intensification of tropical cyclones.


  • (COMPLETED) R2O Transition of the GOES-R GLM Assimilation Capability in GSI for Use in the NCEP GDAS

    Project Period: May 1, 2017 to April 30, 2018 Principal Investigator(s): Karina Apodaca Co-Principal Investigator(s): Milija Zupanski Sponsor(s): Developmental Testbed Center (DTC)     Goal: Preparing the GOES-R GLM lightning assimilation development in the Gridpoint Statistical Interpolation system for using satellite lightning measurements in NOAA/NWS/NCEP Global Forecasting System.   Final Report


  • (COMPLETED) Advancing coupled land-atmosphere modeling with NASA-Unified WRF via process studies and satellite-scale data assimilation

    This project builds on the successful development and application of the NASA Unified Weather Research and Forecasting (NU-WRF) modeling system, with the goal of integrating and enhancing existing land and atmospheric data assimilation capabilities to advance regional-scale coupled land-atmosphere modeling for process studies.


  • (COMPLETED) Evaluation of the Newly Developed Observation Operators for Assimilating Satellite Cloud and Precipitation Observations in GSI within the HWRF system

    In this project, we plan to perform a detailed evaluation of the impact of the new observation operators by employing an extensive set of selected cases and assessing their value in a systematic manner before they are ready for general/public use.