PDF-term hydrologically based dataset of land surface fluxes and states fo
Author : yoshiko-marsland | Published Date : 2017-01-09
1 A L ong 1 US Update and extensions 2 3 Ben Livneh 1 Eric A Rosenberg 1 Chiyu Lin 1 Vimal Mishra 1 K ostas M Andreadis 2 Edwin P 4 Maurer 3 and Dennis P
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term hydrologically based dataset of land surface fluxes and states fo: Transcript
1 A L ong 1 US Update and extensions 2 3 Ben Livneh 1 Eric A Rosenberg 1 Chiyu Lin 1 Vimal Mishra 1 K ostas M Andreadis 2 Edwin P 4 Maurer 3 and Dennis P Lettenmaier 1 5 6 1. NADYA T. VINOGRADOVA. 1. RUI M. PONTE. 1. MARTHA W. BUCKLEY. 2. 1. Atmospheric . and Environmental Research (AER. ), USA. 2. George Mason University (GMU), USA . Aquarius/SAC-D Science Team Meeting, Seattle, WA. Jingfeng. Wang. 1 . and Rafael L. Bras. 1,2 . . 1. University of California at Irvine. 2. Georgia Institute of . Technology. 5. th. Interagency Surface Dynamics Working Group Meeting 1 - 3 March 2011. Latent and sensible heat. “Sweating”. Greenhouse Gases. Longwave. Radiation. Albedo. “Breathing”. “Reflectivity”. To better assess land-climate interactions in NH under future change scenarios, we are measuring greenhouse gas, energy, and radiation fluxes across 4 different land cover types that broadly represent the NH landscape: forest, field/pasture, corn/agriculture, residential/paved. In the simplest terms, these fluxes can be thought of as breathing (respiring CO. Integrating land-surface . models with observations. By: Ben . Livneh. Overview. Background: significance of large-scale land surface modeling. Past and ongoing . projects. Importance of . linking models . 2. :CO. 2. ratios . over the Southern Ocean. Britton Stephens (NCAR), Ralph Keeling (Scripps), Gordon . Brailsford. (NIWA), Andrew Manning (UEA), Sara . Mikaloff. -Fletcher (NIWA), . Prabir. . Patra. C. Helfter. 1. , J. Drewer. 1. , M. Anderson. 1. , B. Scholtes. 2. , B. Rees. 2. and U. Skiba. 1. 1. Centre for Ecology and Hydrology, Edinburgh, UK.. 2. Scotland’s Rural College, Edinburgh, UK.. Email: caro2@ceh.ac.uk. Radiative. Fluxes . over Rugged Terrain from Satellite Measurements. Tianxing. Wang . (txwang.rs@gmail.com). Guangjian. Yan . (gjyan@bnu.edu.cn). Xihan. Mu . (muxihan@163.com). Ling Chen . 17. - term h y- drologically based dataset of land surface fluxes and states for the conterminous United States. J. Clim. 15 ⠀22⤀, 3237 Assessing the climate impacts of land cover and land management using an eddy flux tower cluster in New England. Land use, land management, and land cover change influence both local and global climate through changes in net greenhouse gas exchange, albedo, evapotranspiration, and aerodynamic roughness. We used a cluster of eddy flux towers located within 7.5 km of one another in southern New Hampshire across four land cover types—mixed forest, cornfield, hayfield, and impervious surface—to investigate the impact of land use on land-climate interactions in New England. Preliminary results from 2013-2016 indicate that the forested site had the lowest annual and growing season albedo of all 4 land cover types, but maintained the lowest surface temperature. The low surface temperature appears to be maintained due to both evapotranspiration as well as its comparatively high aerodynamic roughness and . Yudong . Tian, Christa Peters-Lidard, Ken Harrison, Sujay Kumar and Sarah Ringerud. . http://lis.gsfc.nasa.gov/PMM/. . Sponsored by NASA . PMM Program (PI: C. Peters-Lidard). 2. Outline. 1. Why does land surface microwave emissivity matter? . Kalman. Filter. Hans W. Chen, . Fuqing. Zhang, Thomas . Lauvaux. . and Kenneth J. Davis. Department of Meteorology and Atmospheric Science. The Pennsylvania State University. Surface CO. 2. fluxes are important to know to determine the atmospheric CO. Ozone Level. L. u . X. u. Xiaoxi. Liu. Benjamin . Sheyko. Overview. 1. Introduction. 2. Long-term changes in surface O. 3. of global scale. - N.H. and S.H.. 3. Long-term . changes in surface O. Land Modeling II - Biogeochemistry: Ecosystem Modeling and Land Use Dr. Peter Lawrence Project Scientist Terrestrial Science Section Climate and Global Dynamics Division (With thanks to TSS and IAM groups for their many contributions) Basic Meteorological Direct fluxes:. Sensible Heat, H. s. Latent Heat, H. l. Momentum, . τ. Kinetic Energy=-. τ. *U(z). Fluxes on Ocean Side. Momentum and Energy (waves and currents). Thermodynamic .
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