'Snow albedo' diaporamas de présentation

Motivation

Snow and Vegetation: Remote Sensing and Modeling (Activities in Land-Atmosphere Interactions at the University of Arizona, Tucson) Michael Barlage Joint Center Funded Work - PI Xubin Zeng.

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Experiments on COSMO snow parameterization

541 views • 43 slides

Satellite Remote Sensing and Applications in Hydrometeorology

Satellite Remote Sensing and Applications in Hydrometeorology. Xubin Zeng Dept of Atmospheric Sciences University of Arizona Tucson, AZ 85721. http://www.atmo.arizona.edu/~zeng/zeng.html Fractional cover (Zeng et al. 2000, 2003) and green

582 views • 37 slides

Surface characteristics and River routing

Surface characteristics and River routing. Bart van den Hurk (KNMI/IMAU). Question. Model: frozen ground does not allow vertical moisture movement melting snow on frozen ground: runoff water lost for the warm season Real world: some melting water will percolate via large pores or holes

814 views • 35 slides

Uintah Basin WRF Testing

Uintah Basin WRF Testing. Erik Neemann 20 Sep 2013. Overview. Description of WRF Setup & Microphysics edits Explanation of WRF edits Reasoning for Microphysics edits General Results Examples of simulation differences Errors, Time Series plots, & Vertical profiles Conclusions.

460 views • 33 slides

Spatially Complete Global Spectral Surface Albedos: Value-Added Datasets Derived From Terra MODIS Land Products

Spatially Complete Global Spectral Surface Albedos: Value-Added Datasets Derived From Terra MODIS Land Products. Eric G. Moody 1,2 , Michael D. King 1 , Steven Platnick 1 , Alan H. Strahler 3 , Crystal Schaaf 3 , Feng Gao 3 1 NASA Goddard Space Flight Center 2 L3-Communications GSI

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Spatially Complete Global Surface Albedos Derived from Terra/MODIS Data

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The retrieval of snow properties from space: theory and applications

351 views • 23 slides

Coupled modelling - snow Patrick Samuelsson Rossby Centre, SMHI patrick.samuelsson@smhi.se

Coupled modelling - snow Patrick Samuelsson Rossby Centre, SMHI patrick.samuelsson@smhi.se. Aspects of snow in NWP/climate models. IMPORTANT. Represent a storage of water as hydrological memory for runoff. The complexity should not violate assimilation and numerical stability. C L I M A

356 views • 21 slides

Coupled modelling - snow Patrick Samuelsson Rossby Centre, SMHI patrick.samuelsson@smhi.se

Coupled modelling - snow Patrick Samuelsson Rossby Centre, SMHI patrick.samuelsson@smhi.se. Aspects of snow in NWP/climate models. IMPORTANT. Represent a storage of water as hydrological memory for runoff. The complexity should not violate assimilation and numerical stability. C L I M A

337 views • 21 slides

Snow in Climate Models

Snow in Climate Models. Robert E. Dickinson EAS, Georgia Tech. Where from? ( climate model (CM) snow). CM does mass balance computation for water Water vapor added to atmosphere at surface Carried around by convection and winds Near saturation – makes clouds depending on CCNs

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A Quick Introduction to Remote Sensing

367 views • 16 slides

Improving the Snow Processes in the NCEP Noah Land Model

Xubin Zeng, Zhuo Wang, and Mark Decker Department of Atmospheric Sciences University of Arizona xubin@atmo.arizona.edu. Improving the Snow Processes in the NCEP Noah Land Model. JCSDA Annual Meeting, May 2009. Progress.

243 views • 15 slides

An advanced snow parameterization for the models of atmospheric circulation

291 views • 13 slides

Spatially Complete Global Surface Albedos Derived from MODIS Data

Spatially Complete Global Surface Albedos Derived from MODIS Data. Operational MODIS surface albedo data product (MOD43B3/MCD43B3) 0.47, 0.56, 0.67, 0.86, 1.24, 1.64, 2.1, 0.3-0.7, 0.7 - 5.0, 0.3-5.0 1 arc min (~2 km) latitude-longitude spatial resolution ( C004 )

457 views • 12 slides

Dune Stabilization and WIND-Blown dust

231 views • 11 slides

Black Carbon in Snow: Treatment and Results

Mark Flanner 1 Charlie Zender 2 Jim Randerson 2 Phil Rasch 1 1 NCAR 2 University of California at Irvine. Black Carbon in Snow: Treatment and Results. Motivation. Hansen and Nazarenko (2004) Soot climate forcing via snow and ice albedo, PNAS. The SNICAR Model.

252 views • 11 slides

Let It Snow: GPM Cold-season Precipitation Experiment ( GCPEx )

Let It Snow: GPM Cold-season Precipitation Experiment ( GCPEx ) Observations to Improve GPM Satellite Methods for Detecting and Measuring Falling Snow Gail Skofronick Jackson, Code 612, NASA GSFC, Walter Petersen, Code 610.W, Dave Hudak , Environment Canada. DC-8.

211 views • 6 slides

Let It Snow: GPM Cold-season Precipitation Experiment ( GCPEx )

Let It Snow: GPM Cold-season Precipitation Experiment ( GCPEx ) Observations to Improve GPM Satellite Methods for Detecting and Measuring Falling Snow Gail Skofronick Jackson, Code 612, NASA GSFC, Walter Petersen, Code 610.W, Dave Hudak , Environment Canada. DC-8.

182 views • 6 slides

Noah LSM snow model diagnostics and enhancements.

Noah LSM snow model diagnostics and enhancements. Ben Livneh 1 , Youlong Xia 2 , Michael Ek 2 , Ken Mitchell 2 , and Dennis Lettenmaier 1

144 views • 1 slides