J
J. Dan Tarpley
Researcher at National Oceanic and Atmospheric Administration
Publications - 20
Citations - 3748
J. Dan Tarpley is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Data assimilation & Geostationary Operational Environmental Satellite. The author has an hindex of 17, co-authored 20 publications receiving 3505 citations. Previous affiliations of J. Dan Tarpley include Silver Spring Networks.
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Journal ArticleDOI
The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system
Kenneth E. Mitchell,Dag Lohmann,Paul R. Houser,Eric F. Wood,John Schaake,Alan Robock,Brian Cosgrove,Justin Sheffield,Qingyun Duan,Lifeng Luo,Lifeng Luo,R. Wayne Higgins,Rachel T. Pinker,J. Dan Tarpley,Dennis P. Lettenmaier,Curtis H. Marshall,Curtis H. Marshall,Jared Entin,Ming Pan,Wei Shi,Victor Koren,Jesse Meng,Jesse Meng,Bruce H. Ramsay,Andrew A. Bailey +24 more
TL;DR: A real-time and retrospective North American Land Data Assimilation System (NLDAS) is presented in this article, which consists of four land models executing in parallel in uncoupled mode, common hourly surface forcing, and common streamflow routing: all using a 1/8° grid over the continental United States.
Journal ArticleDOI
Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project
Brian Cosgrove,Brian Cosgrove,Dag Lohmann,Kenneth E. Mitchell,Paul R. Houser,Eric F. Wood,John Schaake,Alan Robock,Curtis H. Marshall,Justin Sheffield,Qingyun Duan,Lifeng Luo,Lifeng Luo,R. Wayne Higgins,Rachel T. Pinker,J. Dan Tarpley,Jesse Meng +16 more
TL;DR: The real-time forcing data set is constantly evolving to make use of the latest advances in forcing-related data sets, and all of the realtime and retrospective data sets are available online at http://ldas.gsfc.nasa.gov for visualization and downloading in both full and subset forms as discussed by the authors.
Journal Article
Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project : GEWEX Continental-Scale International Project, Part 3 (GCIP3)
Rachel T. Pinker,J. Dan Tarpley,Istvan Laszlo,Kenneth E. Mitchell,Paul R. Houser,Eric F. Wood,John Schaake,Alan Robock,Dag Lohmann,Brian A. Cosgrove,Justin Shellield,Qingyun Duan,Lifeng Luo,R. Wayne Higgins +13 more
TL;DR: In this article, real-time estimates of shortwave radiative fluxes, both at the surface and at the top of the atmosphere, are being produced operationally by the National Oceanic and Atmospheric Administration (NOAA)/National Environmental Satellite Data and Information Service using observations from GOES images.
Journal ArticleDOI
Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project
Rachel T. Pinker,J. Dan Tarpley,Istvan Laszlo,Kenneth E. Mitchell,Paul R. Houser,Eric F. Wood,John Schaake,Alan Robock,Dag Lohmann,Brian Cosgrove,Justin Sheffield,Qingyun Duan,Lifeng Luo,R. Wayne Higgins +13 more
TL;DR: In this paper, real-time estimates of shortwave radiative fluxes, both at the surface and at the top of the atmosphere, are being produced operationally by the National Oceanic and Atmospheric Administration (NOAA)/National Environmental Satellite Data and Information Service using observations from GOES images.
Journal ArticleDOI
Snow process modeling in the North American Land Data Assimilation System (NLDAS): 1. Evaluation of model-simulated snow cover extent
Justin Sheffield,Ming Pan,Eric F. Wood,Kenneth E. Mitchell,Paul R. Houser,John C. Schaake,Alan Robock,Dag Lohmann,Brian Cosgrove,Qingyun Duan,Lifeng Luo,Lifeng Luo,R. Wayne Higgins,Rachel T. Pinker,J. Dan Tarpley,Bruce H. Ramsay +15 more
TL;DR: In this paper, the authors evaluate the cold season process modeling in the North American Land Data Assimilation System (NLDAS) and consist of two parts: (1) assessment of land surface model simulations of snow cover extent and (2) evaluation of snow water equivalent.