Mire parameterization

Slides:



Advertisements
Similar presentations
Basics of numerical oceanic and coupled modelling Antonio Navarra Istituto Nazionale di Geofisica e Vulcanologia Italy Simon Mason Scripps Institution.
Advertisements

Lindenberg Meteorological Observatory – Richard Aßmann Observatory COSMO GM Moscow September 2010 Local validation of numerical experiments with the COSMO-EU.
Some Approaches and Issues related to ISCCP-based Land Fluxes Eric F Wood Princeton University.
Fog Forecasting at Roissy Airport (Paris) with 1D model Thierry Bergot and Joël Noilhan Météo-France 1) Methodology Cobel : 1D model of boundary layer.
AMMA-UK Kick-off meeting Jan 2005 WP1 Land surface and atmosphere interactions Chris Taylor Phil Harris.
Parameterization of mires in a numerical weather prediction model Alla Yurova Hydrometeorological Centre of Russia.
Are the results of PILPS or GSWP affected by the lack of land surface- atmosphere feedback? Is the use of offline land surface models in LDAS making optimal.
PREFER 1 st Annual Review Meeting, 5-6 Dec 2013, Milano-Italy PREFER WP3.1 - Information Support to Preparedness/Prevention Phase Product: “Daily Fire.
MODELING OF COLD SEASON PROCESSES Snow Ablation and Accumulation Frozen Ground Processes.
WRF-VIC: The Flux Coupling Approach L. Ruby Leung Pacific Northwest National Laboratory BioEarth Project Kickoff Meeting April 11-12, 2011 Pullman, WA.
Evaporation Slides prepared by Daene C. McKinney and Venkatesh Merwade
Advances in Macroscale Hydrology Modeling for the Arctic Drainage Basin Dennis P. Lettenmaier Department of Civil and Environmental Engineering University.
Coupled Climate Models OCEAN-ATMOSPHEREINTERACTIONS.
Introducing the Lokal-Modell LME at the German Weather Service Jan-Peter Schulz Deutscher Wetterdienst 27 th EWGLAM and 12 th SRNWP Meeting 2005.
Land Processes Group, NASA Marshall Space Flight Center, Huntsville, AL Response of Atmospheric Model Predictions at Different Grid Resolutions Maudood.
Streamflow Predictability Tom Hopson. Conduct Idealized Predictability Experiments Document relative importance of uncertainties in basin initial conditions.
EGU General Assembly C. Cassardo 1, M. Galli 1, N. Vela 1 and S. K. Park 2,3 1 Department of General Physics, University of Torino, Italy 2 Department.
LL-III physics-based distributed hydrologic model in Blue River Basin and Baron Fork Basin Li Lan (State Key Laboratory of Water Resources and Hydropower.
Lecture 10 Evapotranspiration (3)
Coupling of the Common Land Model (CLM) to RegCM in a Simulation over East Asia Allison Steiner, Bill Chameides, Bob Dickinson Georgia Institute of Technology.
Deutscher Wetterdienst Lindenberg Meteorological Observatory – Richard Aßmann Observatory G. Vogel COSMO GM Rome 05 September 2011 Validation results of.
Squall Lines moving over Santarem Julia Cohen Federal University of Para, Brazil David Fitzjarrald Atmospheric Sciences Research Center/ University at.
INSTYTUT METEOROLOGII I GOSPODARKI WODNEJ INSTITUTE OF METEOROLOGY AND WATER MANAGEMENT TITLE : IMPLEMENTATION OF MOSAIC APPROACH IN COSMO AT IMWM AUTHORS:
TURBULENT FLUX VARIABILITIES OVER THE ARA WATERSHED Moussa Doukouré, Sandrine Anquetin, Jean-Martial Cohard Laboratoire d’étude des Transferts en Hydrologie.
Evapotranspiration Partitioning in Land Surface Models By: Ben Livneh.
Seasonal Modeling (NOAA) Jian-Wen Bao Sara Michelson Jim Wilczak Curtis Fleming Emily Piencziak.
Progress ELDAS “Point” Validation (ELDAS Progress Meeting, December 2003, Madrid) Cor Jacobs, Herbert Ter Maat, Eddy Moors.
A Numerical Study of Early Summer Regional Climate and Weather. Zhang, D.-L., W.-Z. Zheng, and Y.-K. Xue, 2003: A Numerical Study of Early Summer Regional.
Implementation and preliminary test of the unified Noah LSM in WRF F. Chen, M. Tewari, W. Wang, J. Dudhia, NCAR K. Mitchell, M. Ek, NCEP G. Gayno, J. Wegiel,
A progress with PT Mire Alla Yurova Hydrometcentre of Russia.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss WG 3: Overview status report COSMO General Meeting, 19.
Estimating Groundwater Recharge in Porous Media Aquifers in Texas Bridget Scanlon Kelley Keese Robert Reedy Bureau of Economic Geology Jackson School of.
Preliminary Applications of the HL-RDHM within the Colorado Basin River Forecast Center Ed Clark, Hydrologist Presented July 26 th, 2007 as part of the.
Parameterisation by combination of different levels of process-based model physical complexity John Pomeroy 1, Olga Semenova 2,3, Lyudmila Lebedeva 2,4.
Results Time Study Site Measured data Alfalfa Numerical Analysis of Water and Heat Transport in Vegetated Soils Using HYDRUS-1D Masaru Sakai 1), Jirka.
Hydro-Thermo Dynamic Model: HTDM-1.0
MM5 studies at Wageningen University (NL) Title Jordi Vilà (Group 4) NL North sea Radar MM5 NL North sea.
Deutscher Wetterdienst Lindenberg Meteorological Observatory Richard Aßmann Observatory Vogel / MOL-RAO (September 2008) Testing the stand-alone module.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Poster Presentation Working Group 3: Physical Aspects.
Initial Results from the Diurnal Land/Atmosphere Coupling Experiment (DICE) Weizhong Zheng, Michael Ek, Ruiyu Sun, Jongil Han, Jiarui Dong and Helin Wei.
CMEMS Mediterranean MFC. Update on specific development for CMEMS Med-MFC V2 Analysis and Forecast Product 1.Data Assimilation: Grid point EOFs ( * )
O. Yevteev, M. Shatunova, V. Perov, L.Dmitrieva-Arrago, Hydrometeorological Center of Russia, 2010.
Evaporation What is evaporation? How is evaporation measured?
1 Xiaoyan Jiang, Guo-Yue Niu and Zong-Liang Yang The Jackson School of Geosciences The University of Texas at Austin 03/20/2007 Feedback between the atmosphere,
An advanced snow parameterization for the models of atmospheric circulation Ekaterina E. Machul’skaya¹, Vasily N. Lykosov ¹Hydrometeorological Centre of.
Radiative-Convective Model. Overview of Model: Convection The convection scheme of Emanuel and Živkovic-Rothman (1999) uses a buoyancy sorting algorithm.
Introducing the Lokal-Modell LME at the German Weather Service
New results of stand-alone simulations with the TERRA module
Surface Energy Budget, Part I
Investigating Cloud Inhomogeneity using CRM simulations.
Coupled modelling of soil thaw/freeze dynamics and runoff generation in permafrost landscapes, Upper Kolyma, Russia Lebedeva L.1,4, Semenova O.2,3 1Nansen.
Impact of soil moisture on near-surface atmospheric layers
Simulation of the Arctic Mixed-Phase Clouds
Verification of dynamically downscaled results around Japan Islands
Jan-Peter Schulz1 and Gerd Vogel2
“Consolidation of the Surface-to-Atmosphere Transfer-scheme: ConSAT
SOILVEG / CLM : Overview of ongoing land model developments
Potential Evapotranspiration (PET)
A new leaf phenology for the land surface scheme TERRA of the COSMO atmospheric model Jan-Peter Schulz1,3,*, Gerd Vogel2, Bodo Ahrens3, Reto Stöckli4 and.
Introduction to Land Information System (LIS)
Cathy Hohenegger 1,2 Linda Schlemmer 1,2 Bjorn Stevens 1
Junhua Zhang and Wanmin Gong
Conditional verification of all COSMO countries: first results
RegCM3 Lisa C. Sloan, Mark A. Snyder, Travis O’Brien, and Kathleen Hutchison Climate Change and Impacts Laboratory Dept. of Earth and Planetary Sciences.
Hydrology CIVL341.
A CASE STUDY OF GRAVITY WAVE GENERATION BY HECTOR CONVECTION
NWP Strategy of DWD after 2006 GF XY DWD Feb-19.
Hydrology CIVL341 Introduction
Preliminary validation results of the prognostic 3d-TKE-scheme
J.T. Kiehl National Center for Atmospheric Research
Presentation transcript:

Mire parameterization COSMO Priority Task Mire parameterization Alla Yurova (Hydrometcentre of Russia) Gerd Vogel (DWD)

Task aim: to incorporate a mire parameterization into the TERRA land surface scheme to investigate the influence of mire parameterization on the components of the heat and water balance simulated by TERRA and compare them with available observations

Results of the preliminary tests with the mire parameterization in the COSMO model Modifications: mire evapotranspiration as a function of PET for a climatic average position of the mire water table depth 2m temperature difference between the modified (with the mire parameterization) and the standard COSMO model. 36h forecast, starting at 00 UTC, 10 August 2011, COSMO-RU domain

2m temperature difference between the modified (with the mire parameterization) and the standard COSMO model. 36h forecast, starting at 00 UTC, 10 August 2011, COSMO-RU domain, Western Siberia

2m temperature difference between the modified (with the mire parameterization) and the standard COSMO model. 72h forecast, starting at 00 UTC, 10 August 2011, single point in Western Siberia (70o E, 62o N)

More latent heat is released from the mires into the atmosphere Difference in the surface latent heat flux (W/m2) between the modified (with the mire parameterization) and the standard COSMO model. 36h forecast, starting at 00 UTC, 10 August 2011, COSMO-RU domain , Western Siberia

…As a result a cloud cover (low level) is increased black-with mire parameterization green- standard The cloud cover (low level) simulated by the modified (with the mire parameterization) and the standard COSMO model. 72h forecast, starting at 00 UTC, 10 August 2011, single point in Western Siberia (70o E, 62o N)

…Due to intensified convection black-with mire parameterization green- standard CAPE (J/kg) simulated by the modified (with the mire parameterization) and the standard COSMO model. 72h forecast, starting at 00 UTC, 10 August 2011, single point in Western Siberia (70o E, 62o N)

Conclusion: COSMO model is sensitive to the Also modified are: Solar and thermal net radiation at the surface Boundary layer depth Precipitation Surface wind field (slightly) ... Conclusion: COSMO model is sensitive to the additional moisture source introduced by the mire parameterization

Planned sub-tasks: Compilation of a database of the mire distribution on a 1km grid in TERRA-compatible format based on satellite vegetation classification (GEM, Bartalev ) and national peat surveys (Vompersky et al. ) Consistency check with TERRA soiltype 8 (peat) from FAO

Planned sub-tasks: 2. Prescription of peat thermal properties in TERRA with dependencies of thermal conductivity on soil water (ice) content using the organic soil thermal conductivity database

Planned sub-tasks: 3a. MMWH model programmed as subroutine ready to use in TERRA and documented.

The Mixed Mire Water and Heat model MMWH (Granberg et al., 1999) zwt zcat W=P-E-q, q=lq·i·K_h(zcat-zwt), W-water content, P-precipitation, E-evapotranspiration, q-runoff, i-slope of the water table,·K_h-transmissivity coefficient, lq-lumped parameter

Planned sub-tasks: 3b. TERRA standard soil water transfer code based on Richards equation with an exchange with groundwater at the lower boundary applied and tested for the mire sites.

Planned sub-tasks: 4. Quantitative estimates of the mire parameterization performance in stand-alone TERRA tests for selected mire sites Degero Stormyr, Nothern Sweden Lammin Suo, North European Russia Vasyugan bog, Siberia? Abisko, N. Sweden? Finnish mires? (Euroflux network)

Planned sub-tasks: 5a. Integration of the mire parameterization in a fully coupled COSMO model for the COSMO-RU domain . 5b. Investigation of the fully coupled COSMO model performance with the mire parameterization for various seasons.