Quality Monitoring in JMA

Slides:



Advertisements
Similar presentations
World Meteorological OrganizationIntergovernmental Oceanographic Commission of UNESCO Ship Observations Team ~ integrating and coordinating international.
Advertisements

Climate Forecasting Unit Climate of the Month January-February 2012 Melanie Davis.
Anticyclones Cause Weather Too: An Understanding of Worldwide Strong Anticyclones and Anticyclogenesis Matthew L. Doody, Lance Bosart and Daniel Keyser.
Tropical cyclone analysis and forecasting : products and tools
Tokyo Climate Center (TCC)
Dr Mark Cresswell Model Assimilation 69EG6517 – Impacts & Models of Climate Change.
Details for Today: DATE:18 th November 2004 BY:Mark Cresswell FOLLOWED BY:Literature exercise Model Assimilation 69EG3137 – Impacts & Models of Climate.
Climate information services provided by the Tokyo Climate Center 1 Akihiko Shimpo Office of International Affairs Japan Meteorological Agency
Section 02 Lesson 5/6/7 Atmospheric Pressure, Temperature and Density
Monitoring of the Global Surface Climate Ayako Takeuchi Climate Prediction Division, JMA.
THE CENTRAL WEATHER BUREAU REGIONAL CLIMATE DYNAMICAL DOWNSCALING FORECAST PRODUCTS FOR JFM 2011 HUI-LING WU and CHIH-HUI SHIAO.
Assessing Predictability of Seasonal Precipitation for May-June-July in Kazakhstan Tony Barnston, IRI, New York, US.
Climate Monitoring of Precipitation: The GPCC - Status and plans Global Precipitation Climatology Centre U. Schneider, A. Meyer-Christoffer, B. Rudolf.
1 Discussion of Observational Biases of Some Aircraft Types at NCEP Dr. Bradley Ballish NCEP/NCO/PMB 7 September 2006 “Where America’s Climate and Weather.
1 Results from Winter Storm Reconnaissance Program 2007 Yucheng SongIMSG/EMC/NCEP Zoltan TothEMC/NCEP/NWS Sharan MajumdarUniv. of Miami Mark ShirleyNCO/NCEP/NWS.
Application of Numerical Weather Prediction Prognoses to Operational Weather Forecasting in Hong Kong Pre-CAS Technical Conference on "Environmental Prediction.
Training Seminar on ICT for GTS (Bangkok, September 2002) - Slide 1 Overview of the WWW monitoring.
Verification Verification with SYNOP, TEMP, and GPS data P. Kaufmann, M. Arpagaus, MeteoSwiss P. Emiliani., E. Veccia., A. Galliani., UGM U. Pflüger, DWD.
Introduction of temperature observation of radio-sonde in place of geopotential height to the global three dimensional variational data assimilation system.
Climate monitoring information on the Mediterranean Peter Bissolli Deutscher Wetterdienst (DWD, Germany), Dep. Climate Monitoring WMO RA VI Regional Climate.
1 Development of GTS and Data Exchange in China National Meteorological Information Center, CMA.
The Impact of the Reduced Radiosonde Observation in Russia on GRAPES Global Model Weihong Tian, Ruichun Wang, Shiwei Tao, Xiaomin Wan Numerical Prediction.
- 200 hPa geopotential heights in the GDAS analysis are lower than in CDAS between 20 o N to the South Pole hPa geopotential heights are consistently.
- 200 hPa geopotential heights in the GDAS analysis are lower than in CDAS between 20 o N to the South Pole hPa geopotential heights are consistently.
NCAR April 1 st 2003 Mesoscale and Microscale Meteorology Data Assimilation in AMPS Dale Barker S. Rizvi, and M. Duda MMM Division, NCAR
Sean Healy Presented by Erik Andersson
Madden/Julian Oscillation: Recent Evolution, Current Status and Forecasts Update prepared by Climate Prediction Center / NCEP April 3, 2006.
Northcutt Bikes Case Answers
Data Quality Monitoring in RA I Nairobi Regional Meteorological Center Eng. Henry Karanja
Station lists and bias corrections Jemma Davie, Colin Parrett, Richard Renshaw, Peter Jermey © Crown Copyright 2012 Source: Met Office© Crown copyright.
- 200 hPa geopotential heights in the GDAS analysis are lower than in CDAS over most of the planet except the North American continent, particularly from.
Climate Outlook (MAY – SEPTEMBER 2017) JOSEPH BASCONCILLO
Satellite data monitoring
The Plan, Status and First Results
Report by Japan Meteorological Agency (JMA)
Yoshiro TANAKA Japan Meteorological Agency
LONG RANGE FORECAST SW MONSOON
Current State of the Pacific and Indian Oceans
JMA Seasonal Prediction of South Asian Climate for OND 2017
Seasonal outlook for summer 2017 over Japan
JMA Seasonal Prediction of South Asian Climate for OND 2017
GPC-Seoul: Status and future plans
Challenges of Seasonal Forecasting: El Niño, La Niña, and La Nada
LONG RANGE FORECAST SW MONSOON
The Plan, Status and First Results
WCRP Workshop on Seasonal Prediction
LONG RANGE FORECAST SW MONSOON
High resolution climate simulations and future change over Vietnam
Overview of 2016/17 Winter Climate over South Korea
The El Niño/ Southern Oscillation (ENSO) Cycle Lab
Reprocessing of Atmospheric Motion Vector for JRA-3Q at JMA/MSC
Can you guess what this lesson is about?
Steps towards evaluating the cost-benefit of observing systems
Forecast Pressure.
James Cotton, Mary Forsythe IWW14, Jeju City, South Korea.
Performance Measures Friends and Partners in Aviation
Update on Stratosphere Improvements in Reanalysis
WDQMS NWP Pilot Project
University of Washington Center for Science in the Earth System
Item Taking into account radiosonde position in verification
2300 (11PM) September 21 Blue line is meridian..
NOAA Objective Sea Surface Salinity Analysis P. Xie, Y. Xue, and A
07b Intermediate Adjustment January 2013
Impact of aircraft data in the MSC forecast systems
A Climate Study of Daily Temperature Change From the Previous Day
Regional WIGOS Centre Tokyo
A Temperature Forecasting Model for the Continental United States
Ulrich Pflüger & Ulrich Damrath
Scott C. Runyon and Lance F. Bosart
Characteristics of 2018/2019 winter monsoon in Japan
Presentation transcript:

Quality Monitoring in JMA Ota Yukinari Numerical Prediction Division Forecast Department

outline Two types of Monitoring Report published by JMA The procedures of a consolidated list of suspected stations with some example Trends in the number of suspected stations Summary

Monitoring Report Monthly Global Monitoring Report JMA publishes following reports ; Monthly Global Monitoring Report JMA reports suspected observations of low quality through our NWP system once a month. (as one of the NWP centre) Report on the Quality of Land Surface Observations in Region II (Asia) RSMC Tokyo publishes it every half year as a lead center for monitoring the quality of land surface observations. (as one of the Lead Centre)

Monitoring Report Report on the Quality of Land Surface Observations in Region II Monthly Global Monitoring Report updated 6-monthly Monthly lead time more than 3month a few days produced manually automatically references First Guess Field of JMA Global Model All Monthly Global Monitoring Report from other monitoring centres Previous report region Region II Global monitoring data MSLP SLP GZ of SYNOP SYNOP, SHIP, BUOY, platform TEMP, PILOT, AIRCRAFT, SATOB, ATOVS Published at http://qc.kishou.go.jp/

Selection Criteria for suspect list (SLP, MSLP) Statistics on observation against the first guess field of JMA global model (O-B) Report on the Quality of Land Surface Observations in Region II Monthly Global Monitoring Report NOBS About 180 (at least 1 per day) 20 Gross Error Limit 15.0 hPa %Gross Error 25% |BIAS| 3.0 hPa 4.0 hPa SD 5.0 hPa 6.0 hPa reference own criteria, stricter than that of monthly monitoring, no agreement Manual on the GDPFS ATTACHMENT II.9

Report on the Quality of Land Surface Observations in Region II a consolidated list of stations suspected of reporting low-quality observation data of station level pressure, mean sea level pressure and geopotential height

List for suspect station 6-month statistics on O-B in all RA II stations (about 2000 stations) Select suspect stations by criteria (about 50 stations) Check the selected stations Suspect lists by the other monitoring centres Time-series of Obs and FirstGuess Tendency to surrounding stations consideration of NWP model errors

Check list for suspect stations (for scratch)

Most typical error and improvement Improved Elevation error

Surrounding stations large bias compared with surrounding stations

Short-term error This station was NOT listed in the suspect lists

Deterioration adjusted? improved? gradually worsen 2013 2014 2015

Seasonal BIAS (MSLP) Oct. Apr. large positive BIAS in winter

Seasonal BIAS (temperature) large negative BIAS in winter Oct. Apr. due to model warm BIAS

Model BIAS in Siberia MSLP in Jan. 2014 Positive BIAS of MSLP i.e. Model has weak high pressure temperature in Jan. 2014 Negative BIAS of temperature i.e. Model has weak coldness The stations in that area should not be listed

Structure of monitoring results Consolidated list of suspect stations throughout the period Stations where quality deteriorated during the period Stations improved and excluded from the previous consolidated list Stations removed from the previous consolidated list

Trends in the number of suspected station in Region II Suspect stations remain constantly

Response of the improvement from NMHSs Report Country Date Comment No32 July to December 2006 (March 2007) Nepal 27 June 2007 44146 elevation change No33 January to June 2007 (September 2007) Kyrgyzstan 26 October 2007 36985 location and elevation change China December 2007 59758 new location Kazakhstan 10 December 2007 35416 elevation change Laos 14 December 2007 48921, 48924, 48925, 48927, 48935, 48938, 48952, 48957 elevation change and installment new mercury barometers

Summary JMA is a NWP Centre for exchange of monitoring results. a Lead Centre for monitoring the quality of land surface observations and responsible for monitoring the quality of land surface observations in Region II. JMA publishes two type of Monitoring Reports via online http://qc.kishou.go.jp/ . Various information are used to produced consolidated list of suspect stations. Not only O-B statistics. NWP model is not perfect. Observation errors should be distinguished from model errors. (but it is much difficult.) In consideration of the above, it takes more than 3 month to complete. About 30 stations remain in suspect lists.