Engineering topics
Berndt, Emily
Publications and source records attributed to Berndt, Emily.
Limb Corrections and Adjustments Applied to Imagery Derived from Differing Sensors to Improve Comparisons of RGBs
No abstract available
Development and Application of Gridded NUCAPS for Operational Forecasting Challenges
No abstract available
Developing a Knowledge Base for NASA Earth Science and Hydrologic Applications
No abstract available
Using Multi-Sensor Aerosol Optical Depth Retrievals to Improve Infrared Radiance Assimilation
No abstract available
An Overview of NASA SPoRT GOES-R JPSS Proving Ground Testbed Activities
The Short-term Prediction Research and Transition (SPoRT) Center is funded by NASA's Earth Science Division and NOAA's JPSS and GOES-R Proving Grounds to transition satellite products and capabilities to the NWS to improve short term (0-48 hr) forecasts on a regional and local scale. SPoRT currently collaborates with 30+ NWS WFOs (at least one in each NWS region) and 5 National Centers/Testbeds. SPoRT matches user-identified forecast challenges to specific products, providing access to these data in AWIPS through new plug-in development, and generating applications-based training to use the products for their needs (R20). Upon transition, SPoRT collaborates with the user to assess the product impact in a real-world environment for feedback to product developers (O2R) and to benefit their peers.
Utility of NUCAPS Retrieved Profiles to Diagnose Extratropical Transition
No abstract available
Applying Himawari-8 and JPSS Satellite Products for Forecasting Hurricane-Force Wind Events
No abstract available
Identifying Stratospheric Air Intrusions and Associated Hurricane-Force Wind Events over the North Pacific Ocean
Motivation: Ocean data is sparse: reliance on satellite imagery for marine forecasting; Ocean Prediction Center (OPC) –“mariner’s weather lifeline”. Responsible for: Pacific, Atlantic, Pacific Alaska surface analyses –24, 48, 96 hrs.; Wind & wave analyses –24, 48, 96 hrs.; Issue warnings, make decisions, Geostationary Operational Environmental Satellite –R Series (now GOES-16), Compared to the old GOES: 3 times spectral resolution, 4 times spatial resolution, 5 times faster coverage; Comparable to Japanese Meteorological Agency’s Himawari-8, used a lot throughout this research. Research Question: How can integrating satellite data imagery and derived products help forecasters improve prognosis of rapid cyclogenesis and hurricane-force wind events? Phase I –Identifying stratospheric air intrusions: Water Vapor –6.2, 6.9, 7.3 micron channels; Airmass RGB Product; AIRS, IASI, NUCAPS total column ozone and ozone anomaly; ASCAT (A/B) and AMSR-2 wind data.
Satellite Data Product and Data Dissemination Updates for the SPoRT Sea Surface Temperature Composite Product
The SPoRT SST composite is a reliable and robust high-resolution product generated twice per day in near real time. It incorporates highest quality data satellite data from infrared imagers and global analysis from NESDIS and UKMO. Recent updates to the product include the inclusion of VIIRS data to extend the life of the product beyond the MODIS era. It is used by a number of users in their DSS.
IN31A-1734 Development and Evaluation of a Gridded CrIS/ATMS Visualization for Operational Forecasting
A collaborative effort between SPoRT, CIMSS, CIRA, GINA, and NOAA has produced a unique gridded visualization of real-time CrIS/ATMS sounding products. This product uses the NUCAPS retrieval algorithm and polar2grid software to generate plan-view and cross-section visualization for forecast challenges associated with cold air aloft and convective potential. Forecasters at select partner offices have been able to view the Gridded NUCAPS products in AWIPS alongside other operational data products with generally favorable feedback.
Operational Use of VIIRS Multispectral Imagery and NUCAPS Soundings in Short-Term Weather Forecasting
No abstract available
Development and Application of Hyperspectral Infrared Sounder Ozone Retrieval Products for Operational Meteorology
No abstract available