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ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Aqua, level 3 collated (L3C) global product (2002-2018), version 3.00
This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Aqua (Aqua). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water. Daytime and night-time temperatures are provided in separate files corresponding to the daytime and night-time Aqua equator crossing times which are 13:30 and 01:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class. The dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface. Dataset coverage starts on 4th July 2002 and ends on 31st December 2018. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods. The dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain. The dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.
Public data: access to these data is available to both registered and non-registered users.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf, appropriate use of these data may fall under unclassified use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
The data record has been produced by the University of Leicester working within the ESA Land Surface Temperature Climate Change Initiative (LST_cci), and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Contact: data.lst-cci@acri-st.fr
BGS Geology - 50k (DiGMapGB-50) Superficial version 8
Data identifying landscape areas (shown as polygons) attributed with geological names and rock type descriptions. The scale of the data is 1:50 000 scale. Onshore coverage is provided for all of England, Wales, Scotland and the Isle of Man. Superficial deposits are the youngest geological deposits formed during the most recent period of geological time, the Quaternary, which extends back about 2.58 million years from the present. They lie on top of older deposits or rocks referred to as bedrock. Superficial deposits were laid down by various natural processes such as action by ice, water, wind and weathering. As such, the deposits are denoted by their BGS Lexicon name, which classifies them on the basis of mode of origin (lithogenesis) with names such as, 'glacial deposits', 'river terrace deposits' or 'blown sand'; or on the basis of their composition such as 'peat'. Most of these superficial deposits are unconsolidated sediments such as gravel, sand, silt and clay. The digital data includes attribution to identify each deposit type (in varying levels of detail) as described in the BGS Rock Classification Scheme (volume 4). The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as ESRI shapefiles and are available under BGS data licence.
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
The dataset is made available to external clients under BGS Digital Data Licence terms and conditions. Revert to the IPR Section (iprdigital@bgs.ac.uk) if further advice is required with regard to permitted usage.
Either : (i) the dataset has not been formally approved by BGS for access and use by external clients under license; and / or (ii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted before the dataset can be provided to, or accessed by, BGS staff or external clients. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant access restrictions. This staff member should revert to the IPR Section (IPR@bgs.ac.uk) for advice, should the position not be clear.
The BGS Geology 50k dataset is a digital representation of the geology of Great Britain at 1: 50 000 scale (or 1:63 360 scale for areas surveyed and published prior to 1970). It is a compilation of digital tiles derived from previously published and unpublished maps, archive information and results of field mapping campaigns. The mapping, description and classification of rocks are based upon the interpretations and evidence available at the time of survey, or time of re-evaluation for modifications/correction. The data has been digitally captured from paper record, originally using Bentley MicroStation and latterly ESRI ArcGIS software. Post capture processing has occurred to combine geometry and attribution from existing BGS data resources. Quality control checks are run on individual data batches prior and subsequent to their integration into the main data mosaic. The source dataset is dynamic in nature with periodic comprehensive data releases.
FAAM C268 Instrument Test flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft
Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for FAAM Test, Calibration, Training and Non-science Flights and other non-specified flight projects (Instrument) project.
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).
https://catalogue.ceda.ac.uk/uuid/4f62fa21159b4b0cbf6bed9f451d2775 4f62fa21159b4b0cbf6bed9f451d2775
FAAM C270 Instrument Test flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft
https://catalogue.ceda.ac.uk/uuid/18189d378d884d4c91fabdfcc343ed8e 18189d378d884d4c91fabdfcc343ed8e
FAAM C271 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C271 took place on 16th March 2022 in the Kiruna-Svalbard, Sweden region.
https://catalogue.ceda.ac.uk/uuid/43ce3ca3dbf34ee6889d5e2a408e1214 43ce3ca3dbf34ee6889d5e2a408e1214
FAAM C272 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C272 took place on 16th March 2022 in the Kiruna, Sweden region.
https://catalogue.ceda.ac.uk/uuid/c1b4cb2719514b3c8f1610acc99d57a5 c1b4cb2719514b3c8f1610acc99d57a5
FAAM C273 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C273 took place on 19th March 2022 in the Kiruna-Svalbard, Sweden region.
https://catalogue.ceda.ac.uk/uuid/eaff9591f2d64e4390abffa4881bdab5 eaff9591f2d64e4390abffa4881bdab5
FAAM C275 ACAO flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Arctic Cold Air Outbreak (ACAO) project. Flight C282 took place on 23rd March 2022 in the Kiruna-Svalbard, Sweden region.
Validation and Intercomparison Report (PVIR)
Algorithm Theoretical Basis Document v1.1
BGS Geology: onshore digital geological map of Great Britain data
Citation Information - Digital Object Identifier (DOI)
Flight summary file for FAAM BAE-146 flight C268
Flight summary file for FAAM BAE-146 flight C270
Flight summary file for FAAM BAE-146 flight C271
Flight summary file for FAAM BAE-146 flight C272
Flight summary file for FAAM BAE-146 flight C273
Flight summary file for FAAM BAE-146 flight C275
NERC EDS Centre for Environmental Data Analysis
Facility for Airborne Atmospheric Measurements (FAAM)
Natural Environment Research Council (NERC)
National Centre for Atmospheric Science (NCAS)