'Sensible heat flux' presentation slideshows

Importance of Hydro-Meteorological Data Bank for Use in Coupled Models and Disaster Management Using New Techniq

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Parameterization of surface fluxes

553 views • 46 slides

Introduction to the Weather Research & Forecast (WRF) System,

Introduction to the Weather Research & Forecast (WRF) System, a High-Resolution Atmospheric Model. Gary Clow USGS / INSTAAR clow@usgs.gov. WRF Clinic Outline. 1. Introduction and Welcome. 2. Overview of WRF Modeling System. 3. Resources. 4. Steps for Running WRF. 5. Examples.

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904 views • 39 slides

WHAT GOVERNS THE WAY THAT GASES, IN OUR ATMOSPHERE, BEHAVE?

440 views • 37 slides

Potential importance of midlatitude oceanic frontal latitude

Potential importance of midlatitude oceanic frontal latitude on the atmospheric annular mode variability as revealed from aqua-planet experiments. by Fumiaki Ogawa 1 , H . Nakamura 1 , K . Nishii 1 , T . Miyasaka 1 and A. Kuwano-Yoshida 2 1. RCAST , University of Tokyo, Japan

430 views • 35 slides

UAW June 30-July 4, 2008 Tokyo, Japan

UAW June 30-July 4, 2008 Tokyo, Japan. Anthropogenic Heat Release and Global Climate Change. Shi Guang-Yu 1 , Tan Sai-Chun 1 , Shen Yan-Bo 2 , Wang Biao 1 , Wang Bin 1 , Li Li-Juan 1 1. LASG/IAP/CAS 2. NCC/CMA. Contents. Background Model Results Preliminary Conclusions Future work.

466 views • 32 slides

Part 2

430 views • 27 slides

Assimilation of Satellite Soil Moisture Data Products in NCEP GFS

Assimilation of Satellite Soil Moisture Data Products in NCEP GFS . W. Zheng 1,2 , X. Zhan 3 , J. Liu 2,3 , J. Meng 1,2 , J. Dong 1,2 , H. Wei 1,2 , & M. Ek 1 1 NOAA/NCEP/EMC, 5830 University Research Ct, College Park, MD 2 IMSG, Kensington, MD

471 views • 26 slides

Heat storage

Heat storage. Conservation of energy requires that incoming energy balances outgoing energy plus a change in storage. To relate changes in heat content with temperature, we use: ? Q S / ? z = C s ? T / ? t.

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bl_pbl_physics

bl_pbl_physics. Dan Harnos, Jessica Colberg , Joseph Ching , Michelle Pitcel. Scheme options. Option 1: YSU (Control) Prognostic: none Diagnostic: exec_h Cloud mixing: QC, QI Option 0: No PBL scheme Option 5: MYNN2 Prognostic: QKE

387 views • 20 slides

Boundary Layer Lecture Surface-based: Flux Measurements Andrey A. Grachev 1, 2

Exploring the Atmosphere: Observational Instruments and Techniques Advanced Study Program (ASP) Summer Colloquium. Boundary Layer Lecture Surface-based: Flux Measurements Andrey A. Grachev 1, 2 (also Christopher W. Fairall 2 and Jeffrey E. Hare 1, 2 )

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Why observations? Understand processes -> develop parametrizations

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Methods for processing eddy covariance data: (re-)inventing the wheel. Asko Noormets

Methods for processing eddy covariance data: (re-)inventing the wheel. Asko Noormets. OUT Fluxes 0.000556 Hz data of Fc (carbon flux) LE (water flux) Hs (sensible heat flux). IN Measurements 10 Hz data of 3D wind speed T sonic H 2 O CO 2 Pressure. Processing.

290 views • 17 slides

Enhanced surface warming and accelerated snow melt in the Himalayas and Tibetan Plateau

Enhanced surface warming and accelerated snow melt in the Himalayas and Tibetan Plateau induced by absorbing aerosols. William K-M Lau (NASA/GSFC) Kyu-Myong Kim (UMBC/GEST) Maeng-Ki Kim (KNU, Korea) Woo- Seop Lee (KNU, Korea) Yogesh C. Sud (NASA/GSFC) Gregory K. Walker (SAIC).

315 views • 15 slides

IS ALBEDO (REFLECTIVITY) A GEOGRAPHIC VARIABLE?

IS ALBEDO (REFLECTIVITY) A GEOGRAPHIC VARIABLE?. 1. Greatest at poles, least in tropical and equatorial regions. Greatest at poles, least in tropical and equatorial regions. Greater in southern polar regions than northern polar regions. WHERE DOES THE INSOLATION GO?. Sinks of Insolation.

264 views • 15 slides

Remote Sensing of Evapotranspiration

The Surface Energy Balance Algorithm for Land (SEBAL). Remote Sensing of Evapotranspiration. What is MODIS?. Moderate-Resolution Imaging Spectroradiometer Launched in 1999 aboard the EOS AM (Terra); EOS PM (Aqua) followed in 2002 Monitors 36 spectral bands between 0.4 ? m

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title

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Penman Analysis data for the 16 th June 2008

Penman Analysis data for the 16 th June 2008. Group A2 David Sherman Ben Thomas Matthew Weston. Net Radiance (Rn) = 125.58 Wm -2 Sensible Heat Flux (H) = 17.15 Wm -2. Ground Heat Flux (G) = 34.99 Wm -2 Latent Heat Flux (?E) = 73.44 Wm -2. (Rn-G) 125.58-34.99 = 90.59

202 views • 6 slides

1. Introduction

Eddy covariance measurements of carbon, latent and sensible heat fluxes from western Lake Erie. AGU 2013 B21A-0443 .

119 views • 1 slides