Observation feedback archiving in MARS. Acknowledgement:

Similar documents
Using ODB at ECMWF. Piotr Kuchta Sándor Kertész. Development Section ECMWF. Slide 1. MOS Workshop, 2013 November 18-20, ECMWF

Observational DataBase (ODB*) and its usage at ECMWF

Anne Fouilloux. Fig. 1 Use of observational data at ECMWF since CMA file structure.

Status of OPLACE system

Instituting an observation database (ODB) capability in the GSI

eccharts and Metview 4 2 new visualisation systems at ECMWF

Instituting an observation database

The challenges of the ECMWF graphics packages

Metview BUFR Tutorial. Meteorological Visualisation Section Operations Department ECMWF

Metview 4 ECMWF s latest generation meteorological workstation

Report on the COPE technical meeting held at ECMWF, Reading 9-12, June 2014

Introduction to Metview

Metview and Python - what they can do for each other

HARMONIE ATOVS data assimilation and coordinated impact study

Metview 4 ECMWF s latest generation meteorological workstation

Gridded data from many sources

Metview 4 ECMWF s next generation meteorological workstation

Metview Introduction

META-T. Water Temperature Metadata Pilot Project

A problem of strong scalability?

Data Centre NetCDF Implementation Pilot

ECMWF contribution to the SMOS mission

Progress in the assimilation of GPS-RO at ECMWF

SAPP: a new scalable acquisition and pre-processing system at ECMWF

Meteorology and Python

Metview s new Python interface

MIR. ECMWF s New Interpolation Package. P. Maciel, T. Quintino, B. Raoult, M. Fuentes, S. Villaume ECMWF. ECMWF March 9, 2016

GEMS: Global Earth-system Monitoring using Satellite & in-situ Data

Python in the Copernicus Climate Change Service

HIRVDA(C2M) HIRVDA(MIN) HIRVDA(MDCO) HIRVDA(M2C)

Introduction to ECMWF resources:

The C3S Climate Data Store and its upcoming use by CAMS

Testing of the COPE framework for processing observations

cdo Data Processing (and Production) Luis Kornblueh, Uwe Schulzweida, Deike Kleberg, Thomas Jahns, Irina Fast

The EU-funded BRIDGE project

The Logical Data Store

C3S Data Portal: Setting the scene

Uniform Resource Locator Wide Area Network World Climate Research Programme Coupled Model Intercomparison

BUFR decoding. Dominique Lucas User Support. February Intro Bufr decoding

Web Services at ECMWF

The CEDA Archive: Data, Services and Infrastructure

Metview 5.0 and Beyond, to its Pythonic Future

Meeting the challenges of the next generation of user interfaces

Software Infrastructure for Data Assimilation: Object Oriented Prediction System

Introduction of new WDCGG website. Seiji MIYAUCHI Meteorological Agency

ECMWF's Next Generation IO for the IFS Model and Product Generation

Big changes coming to ECMWF Product Generation system

Metview s new Python interface first results and roadmap for further developments

Interpolation. Computer User Training Course Paul Dando. User Support. ECMWF 25 February 2016

CERA: Database System and Data Model

TIGGE and the EU Funded BRIDGE project

Converging Remote Sensing and Data Assimilation through Data Fusion

Bias correction of satellite data at ECMWF

ECMWF New Users Metview Tutorial

The TIDB2 Meteo Experience

eccharts Cihan Sahin Slide 1 Meteorological Operational Systems November

Bruce Wright, John Ward, Malcolm Field, Met Office, United Kingdom

Status of RTH Beijing. Li Xiang National Meteorological Information Center, CMA

Copernicus Climate Change Service

Generating SVG weather maps and meteorological graphs using Magics++

Guide to WMO Table Driven Code Forms: FM 94 BUFR. and FM 95 CREX

IMPLEMENTATON OF SOUTHASIA CLIMATE ASSESSMET AND DASET (SACA&D) AT BMKG

Second workshop for MARS administrators

Assimilating GPS radio occultation measurements with two-dimensional bending angle observation operators

The descriptions of the elements and measures are based on Annex D of ISO/DIS Geographic information Data quality.

Data Management Plan: OR Mooring - Ocean Acidification related measurements (Taken from NOAA Data Sharing Template and adapted for IOOS Certification)

Just on time to face new challenges with NEC super-computer at Meteo-France

Metview Macro Language

First experiences of using WC(P)S at ECMWF

The WMO table driven codes: The 21 st century universal observation codes

WRF-NMM Standard Initialization (SI) Matthew Pyle 8 August 2006

Version 3 Updated: 10 March Distributed Oceanographic Match-up Service (DOMS) User Interface Design

Task Team on Data Management Report

From Integrated to Object-Oriented

MARS administration. Sébastien Villaume Manuel Fuentes, Baudouin Raoult, Tiago Quintino Second Workshop for MARS administrators 7 8 March 2016

OPeNDAP: Accessing HYCOM (and other data) remotely

Development of an information service system based on GOOGLE graphical interfaces. Instruction for the use of the MOON-VOS portal Interface

AAPP status report and preparations for processing METOP data

L2B pm25: L2BP CM development status

WCS2.1 Met-Ocean. 16 th Workshop on Operational Systems. Crown copyright Met Office

Comparison of Full-resolution S-NPP CrIS Radiance with Radiative Transfer Model

GSI Fundamentals (5): Review and Applications

Tempest Hydro-Met Analysis System White Paper August, 2007

SURFEX LDAS March 2012

Suomi NPP CrIS Reprocessed SDR Long-term Accuracy and Stability

What Can a Small Country Do? The MeteoSwiss Implementation of the COSMO Suite on the Cray XT4

National and Regional FDR Data Management in Southeast Asia

2013 Observation Monitoring Workshop

1 Dulcian, Inc., 2001 All rights reserved. Oracle9i Data Warehouse Review. Agenda

Challenges in data compression for current and future imagers and hyperspectral sounders

Gridded Data Speedwell Derived Gridded Products

VIIRS Radiance Cluster Analysis under CrIS Field of Views

From observations to archives: WMO activities. Peer Hechler Data Management Applications Division Climate and Water Department

DupScout DUPLICATE FILES FINDER

RAL IASI MetOp-A TIR Methane Dataset User Guide. Reference : RAL_IASI_TIR_CH4_PUG Version : 1.0 Page Date : 17 Aug /12.

Data Management. Updated Guidelines for Atmospheric Trace Gas Data Management GGMT 2017

NOAA Satellite and Information Service Dan St. Jean, NESDIS Office of Systems Architecture and Advance Planning

Integrating OGC web services into Metview and Magics++

Analysis Methods in Atmospheric and Oceanic Science

IMS CLDB and EnviDB. Universal & Reliable Climate Database Management System. IMS CLDB and EnviDB Climatological and Integrated Environmental Database

Transcription:

Observation feedback archiving in MARS Piotr Kuchta Data and Services Section, ECMWF P.Kuchta@ecmwf.int Acknowledgement: Slide 1 Manuel Fuentes, Baudouin Rault, Erik Andersson, Anne Fouilloux, Lars Isaksen, Drasko Vasiljevic Observation Feedback Handling in MARS MOS Nov 2009 Slide 1

Outline Introduction - Observation Feedback definition, usage - Requirements for improved handling of Observation Feedback - ODB - MARS - Handling of observations at ECMWF Proposed handling of Observation Feedback at ECMWF Work in progress - Governance of observational codes - ODB archive file format, library & tools - MARS extensions Future plans Slide 2 Observation Feedback Handling in MARS MOS Nov 2009 Slide 2

Observation feedback Observation feedback: - information generated by monitoring and assimilation of atmosphere, ocean and land-surface observation data At ECMWF generated by - Atmospheric 4DVar system (Operations) - RD experiments - ERA climate reanalysis, GEMS, ocean and land-surface analysis (planned) Used for monitoring of performance and quality of main components of the assimilation system: - observations - forecasts Examples of feedback data: - Blacklists, quality checks, other flags (e.g. duplicate report) Slide 3 - First guess departure - Analysis departure Observation Feedback Handling in MARS MOS Nov 2009 Slide 3

Processes producing feedback information Data extraction Check out duplicate reports Ship tracks check Hydrostatic check Thinning Some data is not used to avoid over-sampling and correlated errors Departures and flags are still calculated for further assessment Slide 4 Blacklisting Data skipped due to systematic bad performance or due to different considerations (e.g. data being assessed in passive mode) Departures and flags available for further assessment Model/4D-Var dependent QC First guess based rejections VarQC rejections Used data Increments Analysis Observation Feedback Handling in MARS MOS Nov 2009 Slide 4

Observation data count for one 12h 4D-Var cycle 0900-2100UTC 3 March 2008 Screened Synop: 450,000 0.3% Aircraft: 434,000 0.3% Dribu: 24,000 0.02% Temp: 153,000 0.1% Pilot: 86,000 0.1% AMV s: 2,535,000 1.6% Radiance data: 150,663,000 96.9% Scat: 835,000 0.5% GPS radio occult. 271,000 0.2% TOTAL: 155,448,000 100.00% We need to archive everything! Assimilated Synop: 64,000 0.7% Aircraft: 215,000 2.4% Dribu: 7,000 0.1% Temp: 76,000 0.8% Pilot: 39,000 0.4% AMV s: 125,000 1.4% Radiance data: 8,207,000 91.0% Scat: 149,000 1.7% GPS radio occult. 137,000 1.5% TOTAL: 9,018,000 100.00% Only 6% of screened data is assimilated. Slide 5 99% of screened data is from satellites 96% of assimilated data is from satellites Observation Feedback Handling in MARS MOS Nov 2009 Slide 5

Requirements for improved handling of Observation Feedback at ECMWF (1) Systematic, long-term (decades), secure archiving Keep long-term maintenance effort at a minimum - Archive should rely on IFS/ODB for its definitions of data - MARS will stay the primary archiving facility - Minimize efforts in connection with frequently occurring upgrade actions Make archive of obs. data more aware of its content - Enable data discovery by browsing the web-based catalogue - Catalogue with more entries than in the current BUFR-feedback archive in MARS, e.g. make satellite instrument (or sensor) a high level categorization of archived observation data - Support refined data queries to allow fairly fine-grained extraction of subsets of of data Performance improvements - Improve data-latency of typical users data retrieval requests for specific sub-sets of feedback data - Flexible and fast retrieval, e.g. make retrievals of several months of data a realistic prospect Slide 6 Observation Feedback Handling in MARS MOS Nov 2009 Slide 6

Requirements for improved handling of Observation Feedback at ECMWF (2) Practical considerations - Data format of the feedback archive to be self-described - Data stored in large files spanning several days to a month, depending on observation type (better collocation) - Archive volume is not the primary design driver, but performance, resilience, flexibility and ease of use are - Provide built-in ability for future extensions (new data types and compression algorithms, new data items) Input observation data will continue to be archived in BUFR The new feedback data archive (binary compressed feedback) will sit alongside the existing archive in MARS Slide 7 Observation Feedback Handling in MARS MOS Nov 2009 Slide 7

Introduction to ODB ODB: Observational DataBase - In-memory, parallel source of input (observations) and output (feedback) for IFS (Integrated Forecast System) - Data queries in SQL (Structured Query Language) See presentation of Anne Fouilloux Slide 8 Observation Feedback Handling in MARS MOS Nov 2009 Slide 8

Introduction to MARS MARS: Meteorological Archival and Retrieval System System in use at ECMWF for more than 20 years Managed Archive - Data Collocation - Scalability Post-processing facilities - Field Interpolation - Sub-area extractions - Data filtering Data formats supported are self-described: GRIB, BUFR Slide 9 Observation Feedback Handling in MARS MOS Nov 2009 Slide 9

Introduction to MARS: MARS language Data described in meteorological terms (date, latitude/longitude, parameter, pressure level, etc) User does not need to know where the data physically resides Simple syntax Example: Retrieve, date = 20010101/to/20010131, parameter = temperature/geopotential, type = forecast, step = 12/to/240/by/12, levels = 1000/850/500/200, grid = 2/2, Slide 10 area = -10/20/10/0 Observation Feedback Handling in MARS MOS Nov 2009 Slide 10

Introduction to MARS: Web-MARS A Web interface for browsing MARS archive - Catalogue of all archive content - Data finder - Parameter database After finding the data you can: - View the batch request (to be used with the command line client) - Estimate request cost (number of fields, tapes, data volume) - Retrieve selection - Plot selection Slide 11 Observation Feedback Handling in MARS MOS Nov 2009 Slide 11

Current observation data flow at ECMWF HAPP HPC Workstation Obs reports preprocessing RDB bufr2odb IFS input ODB feedback BUFR ODB BUFR odb2bufr type=ai {andate, antime} type =OB {obsdate, obstime} type=fb {obsdate, obstime} BUFR type =A F {andate, antime} ODB.tar ODB.tar MARS ECFS Cache Index Slide 12 Data Handling System Observation Feedback Handling in MARS MOS Nov 2009 Slide 12

Proposed observation data flow at ECMWF HAPP HPC Workstation Obs reports preprocessing RDB bufr2odb IFS input ODB feedback BUFR ODB type=a I {andate, antime} BUFR type =OB {obsdate, obstime} type=fb {obsdate, obstime} odb2bufr BUFR type =A F {andate, antime} ODB content selected ODB content MARS ECFS Cache Index Slide 13 Data Handling System Observation Feedback Handling in MARS MOS Nov 2009 Slide 13

Proposed archiving of ODB content in MARS Slide 14 Observation Feedback Handling in MARS MOS Nov 2009 Slide 14

Work in progress: Governance of observation codes There are no guidelines on how to add new data types to ODB - New table? - New column? - What code to use for a satellite, sensor, etc? Review ODB contents - Re-organisation of ODB tables & ODB column names - Use WMO codes - Define infrastructure for maintenance: databases, web applications and procedures Definitions must not change over time, once defined Slide 15 Observation Feedback Handling in MARS MOS Nov 2009 Slide 15

WMO codes Use standard codes from WMO tables: - Common code table C-5: Satellite identifier - Common code table C-8: Satellite instrument - Common code table C-2: RadioSonde/Sounding system - Satellite sensor indicator - Satellite Derived Wind Computation Method - BUFR types and subtypes, etc Slide 16 Observation Feedback Handling in MARS MOS Nov 2009 Slide 16

Work in progress: Report Type ReportType: Unique mapping of a series of attributes of observation data - Group, Sensor, Platform, Bufr Type, Subtype, Obstype, Codetype Report types are grouped by type of data - Group seems to define naturally the organisation of the archive Conventional Satob Hirs AMSUA AMSUB GEOS Slide 17 Observation Feedback Handling in MARS MOS Nov 2009 Slide 17

Work in progress: Report Type table group reportype Local sensor WMO sensor platform Comp. Method bufrtype subtype obstype codetype No Name No Name No Name No Name No Name No Name No Name No Name No Name No Name 1 HIRS 1 TIROS-N HIRS Radiances 0 HIRS 605 HIRS; High Resolution Infra R(red) Sounder/2 (3=606; 4=607) 708 TIROS-N N/A N/A 3 Satellite Sounding 55 ATOVS 7 SATEM 210 Radiances 1 HIRS 2 NOAA 6 HIRS Radiances 1 HIRS 3 NOAA 7 HIRS Radiances 1 HIRS 4 NOAA 8 HIRS Radiances 1 HIRS 5 NOAA 9 HIRS Radiances 1 HIRS 6 NOAA 10 HIRS Radiances 0 HIRS 605 HIRS; High Resolution Infra R(red) Sounder/2 (3=606; 4=607) 0 HIRS 605 HIRS; High Resolution Infra R(red) Sounder/2 (3=606; 4=607) 0 HIRS 605 HIRS; High Resolution Infra R(red) Sounder/2 (3=606; 4=607) 0 HIRS 605 HIRS; High Resolution Infra R(red) Sounder/2 (3=606; 4=607) 0 HIRS 605 HIRS; High Resolution Infra R(red) Sounder/2 (3=606; 4=607) 706 NOAA 6 N/A N/A 3 Satellite Sounding 707 NOAA 7 N/A N/A 3 Satellite Sounding 200 NOAA 8 N/A N/A 3 Satellite Sounding 201 NOAA 9 N/A N/A 3 Satellite Sounding 202 NOAA 10 N/A N/A 3 Satellite Sounding Slide 18 55 ATOVS 7 SATEM 210 Radiances 55 ATOVS 7 SATEM 210 Radiances 55 ATOVS 7 SATEM 210 Radiances 55 ATOVS 7 SATEM 210 Radiances 55 ATOVS 7 SATEM 210 Radiances Observation Feedback Handling in MARS MOS Nov 2009 Slide 18

Work in progress: ODB Archive format New file format: ODA (ODB Archive format) -Simple, well defined, machine independent -Self-described (meta data in header) -Extendable: new codecs (compression alg.) can be added An ODB archive file represents a flat table -Every column has: name, type (REAL, INTEGER, STRING, ), value of missing value (NULL), codec (invisible to the user) -Data layout: report oriented (all data belonging to one report stored on 1 line) reptype class andate antime lat lon statid obsvalue blacklist status 14 od 20090730 0 0.364777 0.986071 223 235.009995 0 01100 14 od 20090730 0 0.367758 0.972175 Slide 223 19 235.949997 0 01100 14 od 20090730 0 0.370347 0.959772 223 236.880005 0 01100 Observation Feedback Handling in MARS MOS Nov 2009 Slide 19

ODB Archive format features (1) Handles data types and metadata of ODB -Changes to ODB like addition of new columns propagated automatically to archives Open for future extensions -New codecs can be easily added without breaking compatibility Small memory footprint needed to process large datasets Simple yet efficient and fast encoding/decoding Slide 20 Observation Feedback Handling in MARS MOS Nov 2009 Slide 20

ODB Archive format features (2) New data can be appended to existing files -Efficient usage of storage medium (tapes) -Can retrieve long time series in one request reptype class andate antime lat lon statid obsvalue 14 od 20090730 0 0.364777 0.986071 223 235.009995 14 od 20090730 0 0.367758 0.972175 223 235.949997 14 od 20090730 0 0.370347 0.959772 223 236.880005 reptype class andate antime lat lon satid sensor obsvalue 14 od 20090731 0 0.364777 0.986071 222 3 235.009995 14 od 20090731 0 0.367758 0.972175 222 3 235.949997 14 od 20090731 0 0.370347 0.959772 222 3 236.880005 Header MD Slide 21 Header MD Header MD Header MD Observation Feedback Handling in MARS MOS Nov 2009 Slide 21

Work in progress: ODB Archive API Library for writing, reading and filtering ODB archives - Designed to work well with MARS, but does not depend on it - SQL filtering engine supporting ODB/SQL syntax included - API for C, Fortran, C++ - Examples of users: oda2odb, obstat, Metview, Magics++ string sql = "select lat, lon, obsvalue from \"in.oda\"" " where obsvalue > 0.5 "; ODA oda(""); for (ODA::select_iterator it = oda.select(sql); it!= oda.selectend(); ++it) Slide 22 cout << it->data(0) << " " << it->data(1) << " << it->data(2) << endl; Observation Feedback Handling in MARS MOS Nov 2009 Slide 22

Work in progress: ODB archive tools Command line tools - tool for exporting ODB contents to ODB archive files - tool for recreating ODB from ODB archive files - various tools for comparing, viewing, filtering & transforming (using SQL) ODB archive files $ oda sql select lat, lon, obsvalue from \"in.oda\" where obsvalue \> 0.5 $ oda sql select lat, lon, obsvalue \ into \ out.oda\" \ from \"in.oda\" \ where obsvalue \> 0.5 $ oda sql query.sql Slide 23 Observation Feedback Handling in MARS MOS Nov 2009 Slide 23

Work in progress: MARS extensions Support for ODB contents - Extension to MARS language (MARS server and client) - Configurable mapping between ODB columns and MARS language keywords (MARS server and client) TIME: antime@hdr DATE: andate@hdr - Flexible indexing (MARS server) - oda2request tool (builds MARS ARCHIVE request from ODB archive files) - Validating requests against data when archiving (both server and client) Slide 24 - Filtering (SQL) on the MARS client Observation Feedback Handling in MARS MOS Nov 2009 Slide 24

MARS language extensions SQL capabilities incorporated into MARS syntax Example: RETRIEVE, OBSGROUP = hirs, DATE = 20090728, TIME = 0, SQL engine used for filtering (WHERE clause of SELECT statement) TYPE = FB2, REPORTYPE = 13, SENSOR = 0, FILTER TARGET = distance(lat, lon, 0, 0)<km(50) and value>375.2, Slide 25 = "ECMA.hirs.13.oda.from_mars" Observation Feedback Handling in MARS MOS Nov 2009 Slide 25

SQL filtering, example 1 select lat, lon, obsvalue from hdr,body where obstype = $airep and varno = $t and status.active@body = 1 Slide 26 Observation Feedback Handling in MARS MOS Nov 2009 Slide 26

SQL filtering, example 2 select degrees(lat),degrees(lon),obsvalue from hdr,body WHERE inside("canada") OR inside("india") Slide 27 Observation Feedback Handling in MARS MOS Nov 2009 Slide 27

MARS extensions: indexing of ODB in MARS (1) Configuration file driven Any ODB column can be used as an index: - Observation/Analysis date/time, - Report type - Platform (satellite) - Sensor (instrument) - Computation method - Obstype, Codetype, Varno, Channel - Version of data (reprocessed data, ) - Source of data Slide 28 Observation Feedback Handling in MARS MOS Nov 2009 Slide 28

MARS extensions: indexing of ODB in MARS (2) Each type of observational data can be indexed by different attributes (ODB columns), examples: - for SATOB: large number of report types, so index by computation method - GPSRO: index also by rising/setting Slide 29 Observation Feedback Handling in MARS MOS Nov 2009 Slide 29

Current status Definition of ODB archive format Working version of library for handling ODB archives Tools for archiving ODB content and reading it back to ODB Integration with - Magics++ - MetView - Obstat MARS server support for ODB content (more testing needed) Basic support for ODB content in MARS Slide 30 client Observation Feedback Handling in MARS MOS Nov 2009 Slide 30

Future plans Finalize data organization in MARS Finalize ODB re-organization, make use of WMO codes Back-archiving of observation feedback currently archived in BUFR Filtering on MARS client Easy monitoring, alarm system (obstat) Slide 31 Observation Feedback Handling in MARS MOS Nov 2009 Slide 31