Assimilation of NASA's Airborne Snow Observatory Snow Measurements for Improved Hydrological Modeling: A Case Study Enabled by the Coupled LIS/WRF-Hydro System
Explore the source record for details and available documents.
Timothy M. Lahmers↗
SEARCH · Engineering Papers
Results for “ASSIMILATION”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
The Status and Progress of the PBL-Focused Data Assimilation in the GEOS-5 System
Explore the source record for details and available documents.
Yanqiu Zhu↗
Volcanic Data Assimilation: Towards and Beyond [Near] Real-Time Eruption Forecasting
UNKNOWN
Vandemeulebrouck, J.↗
Estimating river hydraulic variables from the assimilation of SWOT observations
UNKNOWN
Margulis, Steve↗
Aerosol Forecasting and Data Assimilation at GMAO
Explore the source record for details and available documents.
Virginie Buchard↗
GEOS Modeling and Assimilation Products in Support of the OCO Missions
Explore the source record for details and available documents.
OCO↗
A Brief Assessment of the Impact of Nearly 40 Years of Assimilated Observations Over the Amazon Basin
Adding a Forecast Sensitivity-based Observation Impact component to Version 2 of the Modern Era Retrospective-analysis for Research and Applications, the present study provides an assessment of the impact of nearly 40 years of observations on short-range (24-hr) forecasts over the Amazon basin. Under self-verification, forecast errors are found to slightly increase from the early data-sparse days to the more recent years, when data dramatically increase. Throughout the reanalysis, satellite radiances dominate in volume, but only before 1999 they dominate the impacts. Beyond 1999, over 50% of forecast error reduction is associated with conventional observations (radiosondes). Atmospheric Motion Vectors are also found to be large contributors to error reduction, but their contribution reduces in dry periods. In opposition to Atmospheric Motion Vectors, satellite radiances tend to contribute more in the dry season. Results provide motivation for additional conventional observations and the use of all-sky treatment of radiances.
F. L. R. Diniz↗