AAPP status report and preparations for processing METOP data

Similar documents
NWP SAF CIMMS Liaison Meeting, May 2006

Challenges in data compression for current and future imagers and hyperspectral sounders. Nigel Atkinson

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

Direct Broadcast Software Packages ITWG Technical Subgroup Report on Issues Arising from ITSC-18. ITSC-19 Jeju Island, March 2014 Liam Gumley

NWP SAF Satellite Application Facility for Numerical Weather Prediction

AAPP version 8.1 Release Note

VIIRS-CrIS Mapping. P. Brunel, P. Roquet. Météo-France, Lannion. CSPP/IMAPP USERS GROUP MEETING 2015 EUMETSAT Darmstadt, Germany

Products and Software Working Group

MHS Instrument Pre-Launch Characteristics

Document NWPSAF_MO_VS_051 Version /7/15. MFASIS - a fast radiative transfer method for the visible spectrum Leonhard Scheck.

VIIRS-CrIS mapping. NWP SAF AAPP VIIRS-CrIS Mapping

NWP SAF. SSMIS UPP Averaging Module. Technical Description NWP SAF. SSMIS UPP Averaging Module Technical Description. Version 1.0

Reprocessing of Suomi NPP CrIS SDR and Impacts on Radiometric and Spectral Long-term Accuracy and Stability

Updates on Operational Processing of ATMS TDR and SDR Products

Technical lossless / near lossless data compression

Recommendations for Processing Software for DRARS Operators

ITSC XX NWP Working Group Report

RTTOV development status

National Research Council Space Studies Board

Suomi NPP CrIS Reprocessed SDR Long-term Accuracy and Stability

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

OCEAN SATELLITE DATA NEEDS FOR NWP

METOP Direct Broadcast Satellite to Ground Interface details for HRPT users

HARMONIE ATOVS data assimilation and coordinated impact study

Levenberg-Marquardt minimisation in ROPP

S-NPP CrIS Full Resolution Sensor Data Record Processing and Evaluations

2.1 RADIATIVE TRANSFER AND SURFACE PROPERTY MODELLING Web site:

NWPSAF 1D-Var User Manual

The status of the RTTOV forward model and an assessment of its accuracy using high spectral resolution satellite data Marco Matricardi

COMPARISON OF LOCAL CSPP VIIRS SDRS WITH GLOBAL NOAA PRODUCTS FOR VALIDATION AND MONITORING OF THE EARS-VIIRS SERVICE STEPHAN ZINKE

Metview BUFR Tutorial. Meteorological Visualisation Section Operations Department ECMWF

RTTOV v11 TOP LEVEL DESIGN. James Hocking, David Rundle Met Office

The challenges of the ECMWF graphics packages

NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION S SCIENTIFIC DATA STEWARDSHIP PROGRAM

Tom Achtor, Tom Rink, Tom Whittaker. Space Science & Engineering Center (SSEC) at the University of Wisconsin - Madison

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

Satellite Infrared Radiance Validation Studies using a Multi-Sensor/Model Data Fusion Approach

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

McIDAS Transition Summary Tom Achtor McIDAS Users Group Meeting Madison, WI - 17 October 2007

CGMS HIGH LEVEL PRIORITY PLAN (HLPP)

McIDAS-V: An open source data analysis and visualization tool for multiand hyperspectral satellite data ITSC-XVI, Angra do Reis, Brazil, 7 May 2008

Generic Product Format Specification

TIGGE and the EU Funded BRIDGE project

Hyperspectral Infrared Measurements Simulation and Collection for GOES-R Sounder Lossless and Lossy Data Compression Study and Beyond

Monitoring for Environment and Security in Africa (MESA) From PUMA2010 to PUMA2015

EUMETSAT Data Centre Archive Online Ordering Application User Manual

McIDAS-V - A powerful data analysis and visualization tool for multi and hyperspectral environmental satellite data *

Data Stewardship NOAA s Programs for Archive, Access, and Producing Climate Data Records

Pre-announcement of upcoming procurement, NWP18, at National Supercomputing Centre at Linköping University

NOAA s Archive, Access, and Assessment of Satellite Data for Climate Applications

The novel tool of Cumulative Discriminant Analysis applied to IASI cloud detection

GSICS Data and Products Server User Guide

Modeling of the ageing effects on Meteosat First Generation Visible Band

PROPOSED TELEMETRY TRANSMISSION AND TELECOMMANDING MODES FOR THE NOAA-N MISSION

Database Web Portal Version 1

Converging Remote Sensing and Data Assimilation through Data Fusion

CrIS SDR Calibration and Cross-sensor Comparisons

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

REQUEST FOR A SPECIAL PROJECT

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

Latest results of variational bias correction in LAM DA systems

The IASI Instrument. on the assimilation of IASI in NWP Reading, May 6-8, ECMWF / NWP-SAF Workshop ! "# $ !" #$%& #$!$$

Bias correction of satellite data at ECMWF

Science Data Processing and Data Products

CrIS Full Spectral Resolution SDR and S-NPP/JPSS-1 CrIS Performance Status

NWP SAF. AAPP Documentation: OPS-LRS User Manual

Incorporation of RTTOV-8 in the JCSDA CRTM

An Innovative Satellite SO 2 and HCHO Retrieval Algorithm based on Principal Component Analysis: Contribution to the Sentinel-5P Mission

VIIRS Radiance Cluster Analysis under CrIS Field of Views

LRO MPS. Mission Planning and Scheduling System for NASA s Lunar Reconnaissance Mission GSAW 2009

GSICS Coordination Center Update GSICS Executive Panel Meeting 12. Fuzhong Weng and Fangfang Yu GSICS Coordination Center

Manual MARS web viewer

OGC at KNMI: Current use and plans

Land surface temperature products validation for

EUMETSAT EXPERIENCE WITH MULTICAST ACROSS GÉANT

Instituting an observation database

McIDAS-X Version 2008 Upgrade Procedure May 2008

The NIR- and SWIR-based On-orbit Vicarious Calibrations for VIIRS

Current Progress of Grid Project in KMA

Generating SVG weather maps and meteorological graphs using Magics++

Observational DataBase (ODB*) and its usage at ECMWF

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

I T E S W O R L D W I D E. Telespazio, a joint venture between Finmeccanica (67%) and Thales (33%), is one of the

Operational Satellite Wind Product Processing at NOAA/NESDIS: A Status Report

OPERATIONAL NEAR REAL-TIME DERIVATION OF LAND SURFACE ALBEDO AND DOWN-WELLING SHORT-WAVE RADIATION FROM MSG OBSERVATIONS

McIDAS-V Tutorial Displaying Polar Satellite Imagery updated July 2016 (software version 1.6)

ROPP-9.0 Release Notes

IOCCG Calibration Workshop 30 October 2004, Fremantle, Australia. In-Flight Calibration of Satellite Ocean-Color Sensors

McIDAS - XCD McIDAS Users Group Meeting

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

AWDP User Manual and Reference Guide

Machine learning approach to retrieving physical variables from remotely sensed data

EPS Product Validation Report: IASI L1 PCC PPF

The EU-funded BRIDGE project

Status of OPLACE system

MetOpizer User Guide

Monitoring of IR Clear-sky Radiances over Oceans for SST (MICROS) for Himawari-8 AHI

META-T. Water Temperature Metadata Pilot Project

GLOBAL SPACE BASED INTERCALIBRATION SYSTEM (GSICS)

Data Centre NetCDF Implementation Pilot

Transcription:

AAPP status report and preparations for processing METOP data Nigel C Atkinson *, Pascal Brunel, Philippe Marguinaud and Tiphaine Labrot * Met Office, Exeter, UK Météo-France, Centre de Météorologie Spatiale, Lannion, France Introduction The ATOVS and AVHRR Pre-processing Package (AAPP) is a software package maintained by the EUMETSAT Satellite Application Facility for Numerical Weather Prediction (NWP SAF). The host institute for the NWP SAF is the Met Office, with partners ECMWF, KNMI and Météo-France (see http://www.nwpsaf.org). AAPP version 5 is in use routinely at many NWP and research centres worldwide. It processes direct readout (HRPT) data from the operational NOAA satellites, as well as global or regional data. There are currently 175 registered users of version 5. A new release, version 6, was released on 12 th October 2006 and this includes a number of enhancements, the most important of which is the capability of processing data from METOP. The paper describes the current status of version 5 and the new features to be found in version 6. Finally we consider the extension of AAPP to new satellites such as NPP and NPOESS. AAPP Version 5 Version 5.1 was released in July 2005, shortly after the launch of NOAA-N. Since then there have been 2 minor updates (mainly bug fixes), as detailed on the AAPP section of the NWP SAF web site. There have also been some updates to the AMSU-B coefficient file. The reason for the AMSU-B coefficient updates is that on some channels, notably channels 18, 19 and 20 on NOAA-16, the output counts are found to drift downwards with time, necessitating changes to the gross limits. At the same time the gains are dropping and the NE Ts are increasing, as shown in Fig. 1. Note the 50% decrease in gain over the last 3 years for these channels, and the 67% increase in NE T. The most likely cause is degradation in the receiver front-end (mixer or oscillator). 103

Fig. 1:Gain and NE T for NOAA-16 AMSU-B, channels 18-20 (183.31 GHz) AAPP version 6 for METOP The main changes in AAPP v6 compared with AAPP v5 are as follows: 1. Ability to ingest EPS level 0 files for METOP (from direct reception system), and to handle the SPOT navigation bulletins contained in the Admin files 2. Processing of IASI instrument to level 1c (via OPS-LRS see below) 3. Ability to decode and encode BUFR level 1c formats (used for global/regional METOP data) 4. Pre-processing of IASI level 1c, including channel selection, generating Principal Component Scores and mapping AMSU/MHS to the IASI grid 5. An updated build system and directory structure These changes are discussed below. EPS Level 0 ingest AAPP assumes that the direct reception system will deliver METOP data in EPS Level 0 format, as defined by EUMETSAT. In this format the raw data for each instrument are provided in separate files, so there is no need for a decommutation task. Instead, for the ATOVS and AVHRR instruments, AAPP contains front-end tools to convert the Level 0 file for each instrument to a conventional AAPP level 1a file. The 1a file can then be processed using the same modules as are used for NOAA data. If the user s direct reception system does not deliver EPS Level 0 format, tools are available on the EUMETSAT web site to do the necessary conversion from raw HRPT. (Go to www.eumetsat.int and select Access to Data > User Support > Useful Programs & Tools. Then see the details on the METOPizer tool). 104

IASI level 1 processing The IASI level 0 to level 1c processor is called Operational Software Local Reception Station, or OPS-LRS. It is available as an optional component of AAPP v6. The software is based on the IASI OPS software delivered to EUMETSAT by CNES, in association with Thales-IS (Marguinaud, 2005). OPS-LRS includes a perl script to process the data in dump mode, i.e. a single IASI L0 file is processed, together with its associated AVHRR files. The AVHRR is required in order to geolocate the IASI data. Note that OPS-LRS is much more processor-intensive than the rest of AAPP, and makes use of multithreaded techniques (posix threads). A fairly powerful machine is required to run it. BUFR decode and encode For some years, AAPP level 1c data have been encoded into BUFR (Binary Universal Form for the Representation of Meteorological data) by NWP centres and used as a format for international exchange of ATOVS data. EUMETSAT intends to use BUFR for the distribution of METOP global data for AMSU, MHS, HIRS and IASI. AAPP v6 contains top-level routines that link with the ECMWF BUFR library. Users who wish to make use of these encode/decode routines will need to download the library from ECMWF (http://www.ecmwf.int/products/data/software/) and to install it before building AAPP. IASI pre-processing Several new options will be provided in atovpp: 1. Map AMSU and MHS to the IASI grid 2. IASI channel sub-set, based on a pre-selected list of channels, in order to reduce data volume. AAPP includes a list of 300 channels, but users may change this selection if they wish. 3. Produce IASI Principal Component scores, i.e. the signal to noise ratio for the presence of certain pre-computed eigenvectors. The number of eigenvectors will be selectable by the user, but by default will be 300. 4. Spatial thinning, e.g. select 1 spot in 4, either a fixed spot or on the basis of a cloud test. Clear spots are generally preferred for NWP; climate users will prefer an unbiased selection. For more details on these options, please see the AAPP Scientific Documentation (available on the AAPP web site). Updated build system and directory structure During the lifetime of AAPP v5, several users had requested that the old build system (based on imake, together with a build script) should be updated. A new system has therefore been devised in which a consistent approach is used for both the new parts of AAPP (metop tools 105

and IASI tools) and the pre-existing parts (calibration, navigation, pre-processing, etc.). OPS- LRS is a separate component and is not part of this build system. The new system works as follows: The user runs a configure script, in which he specifies his platform, preferred Fortran compiler, station name, external libraries, etc. (The script is written in perl). The script uses these settings, together with those in its platform-specific configuration files, to create a Makefile.ARCH file that is referenced by all the lower level makefiles The user then invokes make to build AAPP (or a component of AAPP) A perl script is also available to automatically re-generate all makefiles, which is useful when creating new software modules. The main components of the directory structure for AAPP v6 are shown in Fig. 2. Fig. 2: Directory structure for AAPP v6 (excluding OPS-LRS) Overall functionality The data flow when processing METOP AHRPT data is shown in Fig. 3. A script AAPP_RUN_METOP is provided which implements this data flow (starting from PFS level 0 files, 1 file per instrument per pass). It complements the AAPP_RUN_NOAA script which processes NOAA HRPT data. Components of AAPP-6 may also be used to process global or regional data for both NOAA and METOP satellites. Global and regional METOP data will be delivered to European users via EUMETCast. Typical data flows are given in Fig. 4; it is up to the user to write scripts to link together the various processing steps. 106

Fig. 3: Data flows for processing METOP direct readout data Fig. 4: Data flows for processing global and regional data. (Note that METOP AVHRR processing will initially only be available for regional data, not global). 107

NPP and NPOESS NPP (with a launch scheduled for 2009) will contain a new suite of instruments, including CrIS, ATMS and VIIRS. It is planned to extend AAPP to accept data from these instruments i.e. to develop 1d products for ATMS and CrIS that are analogous to the 1d products for AMSU/MHS and IASI. AAPP will not process the direct broadcast data directly but the intention is that AAPP will be able to ingest the level 1 radiances generated by the International Polar Orbiter Processing Package (IPOPP), being prepared jointly by IPO, NASA and the University of Wisconsin (Overton, 2005). These data are expected to be in HDF-5 format. AAPP will also be able to ingest the BUFR format radiances that NOAA intends to distribute. Conclusions AAPP version 6 has recently been released by the NWP SAF, to support processing of the ATOVS and IASI data from METOP. In the near future, it is planned to extend AAPP to handle the sounding data from NPP and NPOESS in conjunction with direct readout packages developed elsewhere. Acknowledgements Thanks to the AAPP v6 beta testers from DMI, DWD, FMI, SMHI, JMA, CIMSS and EUMETSAT for their helpful feedback. Thanks also to the NWP-SAF helpdesk team for their support in dealing with enquiries and distributing the software. References Marguinaud, P., 2005: The IASI L1 processing software and its integration within AAPP, ITSC-14, Beijing, China, http://cimss.ssec.wisc.edu/itwg/itsc/itsc14/presentations/session10/10_3_marguinaud.pdf Overton, J., 2005: The National Polar-Orbiting Operational Environmental Satellite System (NPOESS) and NPOESS Preparatory Project (NPP) Access to Data: A Partnership. International EOS/NPP Direct Readout Meeting 2005, Benevento, Italy, http://dbmeeting.gsfc.nasa.gov/files/ipoppdbmeeting.ppt 108