Enhancement of the single layer snow model in TERRA: Global numerical experiments J. Helmert, G. Zängl, M. Raschendorfer, D. Mironov, H. Frank, B. Ritter.

Slides:



Advertisements
Similar presentations
What? Remote, actively researched, monitored, measured, has a huge impact on global climate and is relatively cool?
Advertisements

Seasons.
Scaling Laws, Scale Invariance, and Climate Prediction
1 Climate change and the cryosphere. 2 Outline Background, climatology & variability Role of snow in the global climate system Contemporary observations.
JAN LENAERTS SNOWDRIFT CLIMATE Snowdrift climate of Greenland and Antarctica Jan Lenaerts Michiel van den Broeke Institute for Marine and Atmospheric Research,
Global Climate Change's Effects On Agriculture
Outline Background, climatology & variability Role of snow in the global climate system Indicators of climate change Future projections & implications.
What Factors Affect the Climate in Canada
The Changing State of Arctic Sea Ice The Changing State of Arctic Sea Ice James E. Overland and John Calder, NOAA, USA December 7, 2009.
Located in the Northern Hemisphere in the Arctic north polar region. Surrounded by North America, Europe and Asia. Temperatures are persistently low.
=(S,,0); 4=(S,,4000).
Summer 2010 Forecast. Outline Review seasonal predictors Focus on two predictors: ENSO Soil moisture Summer forecast Look back at winter forecast Questions.
The Physical Modulation of Seasonal Hypoxia in Chesapeake Bay Malcolm Scully Outline: 1)Background and Motivation 2)Role of Physical Forcing 3)Simplified.
J. Helmert, H. Asensio, G. Vogel Land-surface model calibration: Results from global and limited-area numerical experiments.
The speaker took this picture on 11 December, 2012 over the ocean near Japan. 2014/07/29 AOGS 11th Annual Meeting in Sapporo.
Forecast Skill and Major Forecast Failures over the Northeastern Pacific and Western North America Lynn McMurdie and Cliff Mass University of Washington.
Comparative analysis of climatic variability characteristics of the Svalbard archipelago and the North European region based on meteorological stations.
Chapter 15 =
Modelling the impact of polar mesoscale cyclones on ocean circulation Are we under-forcing our ocean models? Alan Condron 1, Grant Bigg 2 and Ian Renfrew.
Review of TERRA developments within COLOBOC J. Helmert, H. Asensio, G. Vogel, M. Lange, B. Ritter.
Climatevs. Weather  Climate: Average weather conditions for an area over a long period of time.  Weather: condition of the atmosphere at any given time.
The revised Diagnostics of 2m Values - Motivation, Method and Impact - M. Raschendorfer, FE14 Matthias Raschendorfer DWD COSMO Cracow 2008.
Inquiry into the appropriateness of a TILE/MOSAIC approach for the representation of surface inhomogeneities B. Ritter and J. Helmert.
Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.
Class #18 Wednesday, February 18, Class #18: Wednesday, February 18 Waves aloft Introduction to Oceanography Ocean Currents.
Studies of IGBP-related subjects in Northern Eurasia at the Laboratory of Climatology, Institute of Geography, Russian Academy of Sciences Andrey B.Shmakin.
The dynamic-thermodynamic sea ice module in the Bergen Climate Model Helge Drange and Mats Bentsen Nansen Environmental and Remote Sensing Center Bjerknes.
Typical Distributions of Water Characteristics in the Oceans.
Snow parametrisations in COSMO-RU: analysis of winter-spring forecasts COLOBOC Workshop. Moscow, 6 September 2010.
The correction of initial values of temperature at low model levels Blinov D. Revokatova A. Rivin G. Rozinkina I. Sapuncova E.
Deutscher Wetterdienst Lindenberg Meteorological Observatory Richard Aßmann Observatory Vogel / MOL-RAO (September 2008) Testing the stand-alone module.
A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5 Yi-Chih Huang.
By S.-K. Lee (CIMAS/UM), D. Enfield (AOML/NOAA), C. Wang (AOML/NOAA), and G. Halliwell Jr. (RSMAS/UM) Objectives: (1)To assess the appropriateness of commonly.
1 INM’s contribution to ELDAS project E. Rodríguez and B. Navascués INM.
COSMO_2005 DWD 15 Sep 2005Page 1 (11) COSMO General Meeting Zürich, September 2005 Erdmann Heise Bodo Ritter and Reinhold Schrodin German Weather.
Art or Science?. Explain the thermal transfers of energy within oceans and the importance of oceanic conveyor belts.
An advanced snow parameterization for the models of atmospheric circulation Ekaterina E. Machul’skaya¹, Vasily N. Lykosov ¹Hydrometeorological Centre of.
The presence of sea ice on the ocean’s surface has a significant impact on the air-sea interactions. Compared to an open water surface the sea ice completely.
1 Atlantic Water in the Arctic Ocean – can we estimate the heat supplied through its inflow? Ursula Schauer + Agnieszka Beszczynska-Möller, Eberhard Fahrbach,
E. Bazile, C. Soci, F. Besson & ?? UERRA meeting Exeter, March 2014 Surface Re-Analysis and Uncertainties for.
One day, I will see the world! Asia South America North America Africa Australia Europe Antarctica Atlantic Ocean Pacific Ocean Indian Ocean Arctic.
Warm Up From Home Work of Why does weather in the USA have an effect on weather in France? A Storms blown by winds travel East.
Coupling ROMS and CSIM in the Okhotsk Sea Rebecca Zanzig University of Washington November 7, 2006.
V. Vionnet1, L. Queno1, I. Dombrowski Etchevers2, M. Lafaysse1, Y
Definitions Regions: Places that have common characteristics; areas having no specific boundaries. Common characteristics: Same features that belong.
Towards development of a Regional Arctic Climate System Model ---
Soil analysis scheme for AROME within SURFEX
Introducing the Lokal-Modell LME at the German Weather Service
A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5
Oliver Elison Timm ATM 306 Fall 2016
A global model for the conversion of ZWD to IWV
Daylength Local Mesoscale Winds Chinook Winds (Foehn) Loma, MT: January 15, 1972, the temperature rose from -54 to 49°F (-48 to 9°C), a 103°F (58°C)
J. Helmert and G. Vogel Deutscher Wetterdienst
Xiquan Dong, Baike Xi, Erica Dolinar, and Ryan Stanfield
Jan-Peter Schulz1 and Gerd Vogel2
For environment: Then For small δz (i.e., (δz)2 and higher terms are negligible),
The Arctic Ocean Ecosystem
Anthony R. Lupo, Professor
Global warming - a gradual increase in the temperature of the Earth's surface caused by the greenhouse effect and causing climate change on a global scale.
Team Members: Veronica Colon, Samy Harmoush, Jose Ramos, Christy Yunn
Impact of GOES Enhanced WRF Fields on Air Quality Model Performance
Global Climate Indicators
University of Washington Center for Science in the Earth System
Factors Affecting Aquatic Ecosystems
Matthias Raschendorfer 2007
with contributions from Jan Aure, Roald Sætre and Didrik Danielssen
Station 1: Glaciers & Snow Cover
Natural Climate Changes
An Approach to Enhance Credibility of Decadal-Century Scale Arctic
DREAM dust forecast: case December 22nd 2009
Presentation transcript:

Enhancement of the single layer snow model in TERRA: Global numerical experiments J. Helmert, G. Zängl, M. Raschendorfer, D. Mironov, H. Frank, B. Ritter

Outline Computing the snow density Snow depth, snow heat conductivity Scalar roughness length over snow Global numerical experiments

Single layer snow model

Snow depth, heat conductivity, snow density: Routine Snow depth, heat conductivity, snow density:

Snow density: Experiment

Case study: Snow storm „Daisy“ January 2010 PEPS 2010010812 Pictures from Tagesschau.de

Experiment: Daisy 2010010800 96h GME

Experiment: Daisy 2010010800 96h GME

Experiment: Daisy 2010010800 96h GME

Fresh snow

Snow depth

Snow density

ROUTI - EXP

ROUTI - EXP

Scalar roughness length over snow Surface Heat Budget of the Arctic Ocean (SHEBA) field experiment http://www.crrel.usace.army.mil/sid/SeaIceDynamics/SHEBA.htm http://www.esrl.noaa.gov/psd/psd3/arctic/sheba/ Baltimore site with ridge in background. The main camp for the SHEBA project was based around the CCG Ice Breaker DeGroseilliers

Scalar roughness length over snow Experiment: additional variable for z0t: gz0s: Minimum: zT= 1.E-4 m GME Exp Andreas et al., 2004 Ice station Weddel

Scalar roughness length over snow: SURFEX Example: SWE=40mm, SWEmin=10mm beta_s=0.408s^2/m z0=10cm f_s=0.09 z0t=9.1cm

Experiment 7667 Computing the adapted snow density with implications for snow depth, snow heat conductivity Scalar roughness length over snow Winter 2009/2010; first month: December 2009

Verification T850 BIAS

Verification G500 ANOC

Verification

Global Verification EXP 7667 SNOW 02.12.2009-31.12.2009 00 UTC i192f T_2M TDD_2M P_SURF SK: 2.37 SK: -0.57 SK: -0.39 Europe SK: -4.21 SK: -1.88 SK: -0.27 East Sibiria SK: -4.03 North-West Sibiria SK: 0.45 SK: -3.82 SK: -4.74 South-West Sibiria SK: -2.74 SK: -0.14 SK: 1.32 SK: 0.22 SK: 0.69 North America

Conclusions Routine snow density formulation leads to underestimation of snow depth, overestimation of snow heat conductivity Revised formulation could alleviate to a certain degree this problem Introduction of scalar roughness length over snow accounts for decrease in roughness length with increasing grid point snow amount Verification of EXP7667 for December 2009 shows positive impact of model changes for regions with warm 2m-temperature bias