2mT daytime problem in CANARI surface assimilation M. Derkova.

Slides:



Advertisements
Similar presentations
ALARO-0 at ZAMG Experiences, verification, identified problems, ….
Advertisements

X March C- Copyright Soft Test Inc. Yellow Black = Stored data | Yellow = Write cycle | Red = Read cycle March C- Fundamentals of.
Data assimilation in Austria
Weather Discussion August 23-25, A local hotspot…
Trends in Estimated Mixing Depth Daily Maximums R. L. Buckley, A. Dupont, R. J. Kurzeja, and M. J. Parker Atmospheric Technologies Group Savannah River.
Probability Chances Are… You can do it! Activity #3.
ALARO-0 experience in Hungary1 Mihály Szűcs Hungarian Meteorological Service ALARO-1 Working Days, June 2012, Ljubljana, Slovenia.
LACE DA working days September 2010, Ljubljana Local data assimilation system in Slovenia.
LACE Data Assimilation Working Days June 2011, Budapest HARMONIE DA suite at KNMI Jan Barkmeijer With contributions from: Cisco de Bruijn, Siebren.
Basics of numerical oceanic and coupled modelling Antonio Navarra Istituto Nazionale di Geofisica e Vulcanologia Italy Simon Mason Scripps Institution.
Rossana Dragani Using and evaluating PROMOTE services at ECMWF PROMOTE User Meeting Nice, 16 March 2009.
Slide 1ECMWF forecast products users meeting – Reading, June 2005 Verification of weather parameters Anna Ghelli, ECMWF.
27  9 =.
Chapter 13 – Weather Analysis and Forecasting
Calibration Method of Microwave Tb for Retrieving Accurate SST Akira Shibata JAXA / EORC Advances of Satellite Oceanography at Vladivostok, Oct. 3-6, 2007.
SEASONAL sensitivity study on COBEL-ISBA LOCAL FORECAST SYSTEM for fog and low clouds at Paris CDG airport ROQUELAURE Stevie and BERGOT Thierry Météo-France.
SWTTail Season Conjunctions 1 UCB, Dec THEMIS SCIENCE WORKING TEAM MEETING Tail 1 Conjunctions Sabine Frey University of California - Berkeley.
Gergely Bölöni, Roger Randriamampinanina, Regina Szoták, Gabriella Csima: Assimilation of ATOVS and AMDAR data in the ALADIN 3d-var system 1 _____________________________________________________________________________________.
15. Oktober Oktober Oktober 2012.
Version 1.0, 30 November 2004 Slide: 1 METEOSAT SECOND GENERATION (MSG) FIRE DETECTION Author:Jochen Kerkmann Contributors:P. Menzel.
Practical (case study) Forecasting Tropical cyclones 1.Son-tinh (1223) 2.Kai-tak (1213) Check your TC track forecast.
Slide 1 October 2011 Verification for polar regions  Scores computed for polewards of 65°  NB proposed for CBS is polewards of 60°  Verification at.
Introduction to data assimilation in meteorology Pierre Brousseau, Ludovic Auger ATMO 08,Alghero, september 2008.
LM 2.8 km PROGN TIEDTKE CICLO DI ASSIMILAZIONE (durata: 12 ore ) Ora di inizio run: 12 UTC del 30/10/03 CICLO DI SIMULAZIONE (durata:36 ore) Ora di inizio.
Towards Rapid Update Cycling for Short Range NWP Forecasts in the HIRLAM Community WMO/WWRP Workshop on Use of NWP for Nowcasting UCAR Center Green Campus,
Diana-Corina BOSTAN National Meteorological Administration ROMANIA.
The use of the NWCSAF High Resolution Wind product in the mesoscale AROME model at the Hungarian Meteorological Service Máté Mile, Mária Putsay and Márta.
© red ©
Data assimilation of trace gases in a regional chemical transport model: the impact on model forecasts E. Emili 1, O. Pannekoucke 1,2, E. Jaumouillé 2,
Verification of DWD Ulrich Damrath & Ulrich Pflüger.
Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.
COSMO General Meeting Zurich, 2005 Institute of Meteorology and Water Management Warsaw, Poland- 1 - Verification of the LM at IMGW Katarzyna Starosta,
ALADIN/RC LACE Data Assimilation Mini-Workshop, Budapest, October 20 th -22 th Smoothing of Soil Wetness Index (SWI) in ALADIN/LACE domain Stjepan.
© The Aerospace Corporation 2014 Observation Impact on Mesoscale Model Forecast Accuracy over Southwest Asia Dr. Michael D. McAtee Environmental Satellite.
On Improving GFS Forecast Skills in the Southern Hemisphere: Ideas and Preliminary Results Fanglin Yang Andrew Collard, Russ Treadon, John Derber NCEP-EMC.
Latest results in verification over Poland Katarzyna Starosta, Joanna Linkowska Institute of Meteorology and Water Management, Warsaw 9th COSMO General.
The latest results of verification over Poland Katarzyna Starosta Joanna Linkowska COSMO General Meeting, Cracow September 2008 Institute of Meteorology.
DATA ASSIMILATION M. Derkova, M. Bellus, M. Nestiak.
Denis Blinov, G. Rivin, M. Nikitin, A. Bundel, A. Kirsanov, I. Rozinkina Data assimilation system based on nudging for COSMO-Ru7/So2 1COSMO GM Sibiu, 2.
ProjectImpactResourcesDeadlineResourcesDeadline Forecast Plan Time Resources Risk 001xx 002xx 003xx 004xx 005xx 006xx 007xx TotalXX Example 1: Portfolio.
Trials of a 1km Version of the Unified Model for Short Range Forecasting of Convective Events Humphrey Lean, Susan Ballard, Peter Clark, Mark Dixon, Zhihong.
Use of ALADIN for dynamical downscaling of precipitation Jure Cedilnik University of Ljubljana, Slovenia.
1 INM’s contribution to ELDAS project E. Rodríguez and B. Navascués INM.
Overview of WG5 activities and Conditional Verification Project Adriano Raspanti - WG5 Bucharest, September 2006.
ECMWF WMO Data Impact Workshop Geneva 2008 slide 1 Towards an adaptive observation network: monitoring the observations impact in ECMWF forecast Carla.
10th COSMO General Meeting, Cracow, Poland Verification of COSMOGR Over Greece 10 th COSMO General Meeting Cracow, Poland.
Slide 1 A case of heavy snowfall in Austria, end of January 2014 FDRD – Ivan Tsonevsky - March 2014.
Seeing in colour Stare at the coloured dot in the middle of the next picture for a minute. Then describe what you see when you look at the next slide.
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.
ALADIN 3DVAR at the Hungarian Meteorological Service 1 _____________________________________________________________________________________ 27th EWGLAM.
OSEs with HIRLAM and HARMONIE for EUCOS Nils Gustafsson, SMHI Sigurdur Thorsteinsson, IMO John de Vries, KNMI Roger Randriamampianina, met.no.
ALADIN/SHMU – operational computer HPC IBM p690 Regatta, 32 CPUs POWER GHz, 32 GB RAM, 1.5 TB IBM FAST Storage Server, OS AIX 5.2, Queueing system.
WG5 COSMO General Meeting, Rome 2011 Authors: ALL Presented by Adriano Raspanti.
EWGLAM/SRNWP, Athens, 28 Sept – 1 Oct 2009 Developments in data assimilation for LACE Gergely Bölöni, Edit Adamcsek, László Szabó, Alena Trojáková, Xin.
Smoothing of Soil Wetness Index (SWI) in ALADIN/LACE domain
Recent data assimilation activities at the Hungarian Meteorological Service Gergely Bölöni, Edit Adamcsek, Alena Trojáková, László Szabó ALADIN WS /
Progress in development of HARMONIE 3D-Var and 4D-Var Contributions from Magnus Lindskog, Roger Randriamampianina, Ulf Andrae, Ole Vignes, Carlos Geijo,
met.no – SMHI experiences with ALARO
Current verification results for COSMO-EU and COSMO-DE at DWD
Studies in HARMONIE 3D-Var with 3 hourly rapid update cycling
Recent changes in the ALADIN operational suite
Seeing in colour Stare at the coloured dot in the middle of the next picture for a minute. Then describe what you see when you look at the next slide.
Two ways to discuss color 1) Addition 2) Subtraction
What type of tissue is indicated by the blue arrow?
2007 Mei-yu season Chien and Kuo (2009), GPS Solutions
What Color is it?.
OOIBase32 reference color temperature = 3100 K.

Ulrich Pflüger & Ulrich Damrath
Latest Results on Variational Soil Moisture Initialisation
Presentation transcript:

2mT daytime problem in CANARI surface assimilation M. Derkova

ALADIN/SHMU DA: 2mT RMSE diurnal cycle (summer?) pb 00UTC 12UTC CANARI OPER

2m temperature score evolution: February 2012, Romania (D. Banciu) ALARO-oper: blue/magenta ALARO-assim (including surface local data – 160 synop data): red/green BIAS/RMSE

2m temperature score evolution: Jan- Apr 2012, Slovenia (N. Pristov) BIAS black - data assimilation red - dynamical adaptation 2m Temperature, Jan –Apr run Improved by data assimilation RMSE

ALADIN/SHMU canari (1) 01/08/ /01/2012 2mT analysis 00UTC CANARI OPER 2mT analysis 12UTC OPER CANARI OPER CANARI OPER CANARI

ALADIN/SHMU canari(2) 2mT +24h forecast from 12UTC 2mT +36h forecast from 00UTC 2mT +72h forecast from 00UTC OPER CANARI

ALADIN/SHMU canari (3) 2mRH +24h forecast from 12UTC 2mRH +36h forecast from 00UTC OPER CANARI

ALADIN/SHMU canari (4) difference of surface soil wetness in analyses between operational and parallel run for days indicated on slide no. 5 with green arrows (l eft picture when the RMSE score difference is big, right picture when scores are almost identical)