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FIDUCEO project: FCDR/FCDR Writer/Reader software report
This document describes the usage of the FIDUCEO tools for reading and writing CDR and FCDR data files. This set of tools is programmed in Python and has been tested using Python versions 3.5 and 3.6 on Linux and Windows operating systems. The software is available at Github (https://github.com/FIDUCEO/FCDRTools/releases/tag/2_0_1_RELEASE
NCAS CDAO Sky-Camera Time-Lapse Video for 2007-05-21 03:00 UTC (showing Altocumulus undulatus clouds).
A time-lapse video showing Altocumulus undulatus clouds. The cloud layer initially appears to be of Stratocumulus type, with relatively poorly-defined undulatus elements. However, the layer soon breaks up to give well-defined Altocumulus undulatus. Cirrus clouds and contrails can be seen at a higher level towards the end of the sequence. This video has been created from images taken by the Sky-Camera at the National Centre for Atmospheric Science (NCAS) Capel Dewi Atmospheric Observatory (CDAO) near Aberystwyth, UK - formerly known as the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility. The images are freely available under a UK Open Government Licence from http://tinyurl.com/nerc-mstrf-sky-camera/ . For more details visit http://mst.nerc.ac.uk
Report on FIDUCEO project AVHRR aerosol demonstration dataset
This document forms the deliverable D5.8 to report on the climate data record (CDR) over Europe and North Africa of aerosol optical depth (AOD) as retrieved from the AVHRR fundamental climate data record (FCDR) using a simple dark field Algorithm. The primary object of this data record is to assess and demonstrate how the sophisticated uncertainty information contained in the AVHRR easy FCDR dataset be propagated through a retrieval algorith
FIDUCEO project (HIRS): Report on the HIRS FCDR: Uncertainty
This document is one of the five documents that make up the D2-2 report on “traceability chains for FCDRs”. Since the original project proposal our thoughts have refined and while this document describes the “sequence of measurement standards and calibrations that is used to relate a measurement result to a reference” (the VIM definition of a traceability chain), it is not presenting this in the form of a chain. This document provides an overview of the uncertainty analysis for the analysed sensors along with the methods to establish metrological traceability for the developed FCDRs. This document is specifically about the HIRS FCDR. The document D2-2a provides an overview of the purposes of these documents and explains the basis of the effects tables
FIDUCEO projcer:Product user guide – AVHRR FCDR
This document is the product user guide for the AVHRR FCDR Beta v0.3 data release which is being made available for assessment by trial users. The data record spans the years 1988-2016 and is a preliminary version of the forthcoming full FCDR which it is hoped will be long enough to generate climate data records (CDRs) for climate research. This guide gives: 1. an overview of the specifications of the data record; 2. the science used to define, process and generate the data record; 3. information related to any limitations of the current version of the data record; 4. technical details on the file format and on how to access the dat
NCAS CDAO Sky-Camera Time-Lapse Video for 2008-10-05 11:00 UTC (showing Cumulus humilis clouds, which are also known as fair weather cumulus).
A time-lapse video showing Cumulus humilis clouds, which are also known as fair weather cumulus. This video has been created from images taken by the Sky-Camera at the National Centre for Atmospheric Science (NCAS) Capel Dewi Atmospheric Observatory (CDAO) near Aberystwyth, UK - formerly known as the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility. The images are freely available under a UK Open Government Licence from http://tinyurl.com/nerc-mstrf-sky-camera/ . For more details visit http://mst.nerc.ac.uk
FIDUCEO project: Product user guide – Microwave FCDR release 4.1
This document describes the Microwave “easy” FCDR data files of version 4.1 uploaded to CEDA in January 2019. The released data record contains all mission years of SSMT2 on F11, F12, F14, F15, AMSU-B on NOAA15, NOAA16 and NOAA17 and MHS missions (NOAA18, NOAA19, MetopA,-B), i.e. a data record long enough to generate climate data records (CDRs) for climate research. The presented FCDR is a long data record of increased consistency among the instruments compared to the operational data record. The improvements are based on the strict application of the measurement equation as well as dedicated corrections and improvements within the calibration process. The data record is uncertainty quantified, respecting the correlation behaviour of underlying effects. This product user guide gives: 1. An overview of the specifications of the data record; 2. Scientific records on the generation, definition, and algorithms of the data record; 3. Information on limitations of this version of the data record; 4. Technical details on the format and on how to access the dat
FIDUCEO project: (AVHRR): Report on the AVHRR FCDR uncertainty
This document is one of the five documents that make up the D2-2 report on traceability chains for FCDRs. Since the original project proposal our thoughts have refined and while this document describes the “sequence of measurement standards and calibrations that is used to relate a measurement result to a reference” (the VIM definition of a traceability chain), it is not presenting this in the form of a chain. This document provides an overview of the uncertainty analysis for the sensors analysed along with the methods to establish metrological traceability for the developed FCDRs and is specifically about the AVHRRFCDR. Document D2-2a provides an overview of the purposes of these documents and explains the basis of the effects table