2,420 research outputs found
ARC-Lake v1.1 - Ancillary
No full textARC-Lake v1.1 - Ancillary contains ancillary data products. This consists of the full resolution land/water mask used to determined where observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) are derived and a reduced resolution version of this mask, corresponding to the resolution of the spatially resolved data products.
The methodology used to define this land/water mask is described in the ARC-Lake Algorithm Theoretical Basis Document (ARCLake_ATBD_v_1_1.pdf) and a description of the format of these data files is provided in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf).
Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake/
Please cite both this dataset and the related publication:
* "MacCallum, Stuart N; Merchant, Christopher J. (2011). ARC-Lake v1.1 - Ancillary, 1995-2009 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/106."
* "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"This dataset contains ancillary data for ARCLake v1.1 data products. It consists of the land/water mask, used to define the locations of the lakes, on two grids with different resolution. AL_LW_MASK_020.nc.zip - land/water mask on a 1/20 degree grid, AL_LW_MASK_120.nc.zip - land/water mask on a 1/120 degree grid
C.J. Koch (1932 - )
No full textBiographical, bibliographical, and literary historiography of Australian author C.J. Koch
Comparison of FIDUCEO harmonisation methods on simulated datasets
No full textPresentation on the comparison of errors-in-variables and marginalised errors-in-variables harmonisation methods given by R. Quast during the FIDUCEO science meeting at NPL in January 2019.
This presentation supplements the journal article:
Giering, R.; Quast, R.; Mittaz, J.P.D.; Hunt, S.E.; Harris, P.M.; Woolliams, E.R.; Merchant, C.J. A Novel Framework to Harmonise Satellite Data Series for Climate Applications. Remote Sens. 2019, 11, 1002. doi:10.3390/rs11091002.</p
A Novel Framework to Harmonise Satellite Data Series for Climate Applications: Matchups, Calibration Parameters and Residuals
No full textThe datasets included with this archive supplement the journal article:
Giering, R.; Quast, R.; Mittaz, J.P.D.; Hunt, S.E.; Harris, P.M.; Woolliams, E.R.; Merchant, C.J. A Novel Framework to Harmonise Satellite Data Series for Climate Applications. Remote Sens. 2019, 11, 1002. doi:10.3390/rs11091002.
The archive includes a README file with further explanations.</p
Deriving a sea surface temperature record suitable for climate change research from the along-track scanning radiometers
No full textARC-Lake v2.0 - Per-Lake
No full textARC-Lake v2.0 - Per-Lake contains data products on a lake-by-lake basis. These data products contain observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) from the series of (Advanced) Along-Track Scanning Radiometers ((A)ATSRs). ARC-Lake v2.0 data products cover the period from 1st August 1991 to 31st December 2011.
A number of different data products are available for each lake and are grouped together into a zip archive for each lake. A summary of the types of data product available is given on http://datashare.is.ed.ac.uk/handle/10283/88 and full details of the file naming convention and file contents are given in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf). Individual lake archives are grouped into larger zip archives by continent (with the exception of the Caspian Sea). Details of the methods used and a list of all lakes and their locations are given in the ARC-Lake Algorithm Theoretical Basis Document (ARC-Lake-ATBD-v1.3.pdf).
Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake
Please cite both this dataset and the related publication:
* "MacCallum, Stuart N; Merchant, Christopher J. (2013). ARC-Lake v2.0 - Per-Lake, 1991-2011 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/161."
* "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"This dataset contains data products on a lake-by-lake basis. Lakes have been grouped by continents in the following zip archives: ARCLake_africa.zip - data products for lakes in Africa, ARCLake_asia_oceania.zip - data products for lakes in Asia/Oceania, ARCLake_europe.zip - data products for lakes in Europe, ARCLake_great_lakes.zip - data products for the North American Great Lakes, ARCLake_n_america.zip - data products for all other lakes in North America, ARCLake_s_america.zip - data products for lakes in South America, ALID0001.zip - data products for the Caspian Sea. ARCLake_DPD_v1_1_2.pdf - Detailed description of all data products. ARC-Lake-ATBD-v1.3.pdf - Algorithm theoretical basis document (ATBD)
ARC-Lake v1.1 - Per-Lake
No full textARC-Lake v1.1 - Per-Lake contains data products on a lake-by-lake basis. These data products contain observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) from the series of (Advanced) Along-Track Scanning Radiometers ((A)ATSRs). ARC-Lake v1.1 data products cover the period from 1st June 1995 to 31st December 2009.
A number of different data products are available for each lake and are grouped together into a zip archive for each lake. A summary of the types of data product available is given on http://datashare.is.ed.ac.uk/handle/10283/88 and full details of the file naming convention and file contents are given in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf). Individual lake archives are grouped into larger zip archives by continent (with the exception of the Caspian Sea). A full listing of each zip archive is provided in the ARC-Lake Data Product File List (ARCLake_DPFL_v1_1_2.pdf). Details of the methods used and a list of all lakes and their locations are given in the ARC-Lake Algorithm Theoretical Basis Document (ARCLake_ATBD_v_1_1.pdf).
Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake .
Please cite both this dataset and the related publication:
* "MacCallum, Stuart N; Merchant, Christopher J. (2011). ARC-Lake v1.1 - Per-Lake, 1995-2009 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/159."
* "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"This dataset contains data products on a lake-by-lake basis. Lakes have been grouped by continents in the following zip archives: ARCLake_africa.zip - data products for lakes in Africa, ARCLake_asia_oceania.zip - data products for lakes in Asia/Oceania, ARCLake_europe.zip - data products for lakes in Europe, ARCLake_great_lakes.zip - data products for the North American Great Lakes, ARCLake_n_america.zip - data products for all other lakes in North America, ARCLake_s_america.zip - data products for lakes in South America. Due to size limitations, data products for the Caspian Sea are stored separately across two zip archives: ALID0001_OBS.zip (observations) and ALID0001_REC.zip (reconstructions). Documentation is provided in the following files: ARCLake_DPFL_v1_1_2.pdf - A full listing of the contents of each of the zip archives. ARCLake_DPD_v1_1_2.pdf - Detailed description of all data products. ARC-Lake-ATBD-v1.0.pdf - Algorithm theoretical basis document (ATBD)
ARC-Lake v1.1 - Global
No full textARC-Lake v1.1 - Global contains data products with global coverage, i.e. data for all (available) lakes are included in each product. These data products contain observations of Lake Surface Water Temperature (LSWT) and Lake Ice Cover (LIC) from the series of (Advanced) Along-Track Scanning Radiometers ((A)ATSRs). ARC-Lake v1.1 data products cover the period from 1st June 1995 to 31st December 2009.
A number of different data products are available and are grouped together into six zip archives, by product type. A summary of the types of data product available is given on http://datashare.is.ed.ac.uk/handle/10283/88 and full details of the file naming convention and file contents are given in the ARC-Lake Data Product Description document (ARCLake_DPD_v1_1_2.pdf). Note that not all types of data product available on a per-lake basis are available as a global product. A full listing of each zip archive is provided in the ARC-Lake Data Product File List (ARCLake_DPFL_v1_1_2.pdf). Details of the methods used and a list of all lakes and their locations are given in the ARC-Lake Algorithm Theoretical Basis Document (ARCLake_ATBD_v_1_1.pdf).
Additional information about the ARC-Lake project and some basic data analysis tools can be found on the project website: http://www.geos.ed.ac.uk/arclake/
Please cite both this dataset and the related publication:
* "MacCallum, Stuart N; Merchant, Christopher J. (2011). ARC-Lake v1.1 - Global, 1995-2009 [Dataset]. University of Edinburgh. School of GeoSciences / European Space Agency. https://doi.org/10.7488/ds/160."
* "MacCallum, S.N. and Merchant, C.J. (2012) Surface water temperature observations of large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38 (1). pp. 25-45. ISSN 1712-7971 doi: 10.5589/m12-010"This dataset contains global data products (i.e. all lakes, where available, are included in each data file). The dataset is stored across 6 zip archives, covering unaveraged observation based data and averaged reconstruction based data. Details of the zip archive contents are as follows: ALID9999_DGOBS2D.zip - unaveraged observations for day-time ATSR2, ALID9999_DGOBS2N.zip - unaveraged observations for night-time AATSR observations, ALID9999_DGOBS3D.zip - unaveraged observations for day-time ATSR2, ALID9999_DGOBS3N.zip - unaveraged observations for night-time AATSR
Lake mask and distance to land dataset of 2024 lakes for the European Space Agency Climate Change Initiative Lakes v2
No full textThis dataset contains the distance to land and the lake identifiers as a global netcdf file for all the water pixels at 1km (1/120 deg) lat/lon resolution of 2024 lakes distributed globally. It contains also the list of lakes as a csv file with information such as the lake center as defined in [1], and the coordinate of a box to easily locate the like in the global netcd file. The mask excludes islands on lakes and it has been derived from the GloboLakes high resolution limnology dataset [2]. The dateset have been further harmonized with the lake maximum extent lake polygons by PML [3]. The lake list with the plot of the mask and the polygons is available as a html file accessible also from the lake website at the University of Reading: http://www.laketemp.net/home_CCI/LMPolygons.php
This dataset accompanies the ESA CCI Lakes v2 dataset [4].
[1] Carrea, L.; Embury, O.; Merchant, C.J. (2015): High-resolution datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates - Geoscience Data Journal, 2 (2). pp. 83-97. ISSN 2049-6060 doi: https://doi.org/10.1002/gdj3.32
[2] Carrea, L.; Embury, O.; Merchant, C.J. (2015): GloboLakes: high-resolution global limnology dataset v1. Centre for Environmental Data Analysis. doi:10.5285/6be871bc-9572-4345-bb9a-2c42d9d85ceb. http://dx.doi.org/10.5285/6be871bc-9572-4345-bb9a-2c42d9d85ceb
[3] Simis, S.; Mata, A.; Selmes, N.; Carrea, L. (2021) Lake polygons dataset accompanying Calimnos v1.4.0 and ESA CCI Lakes Climate Research Data Package v2.0. zenodo https://doi.org/10.5281/zenodo.4899250
[4] Carrea, L.; Crétaux, J.-F.; Liu, X.; Wu, Y.; Bergé-Nguyen, M.; Calmettes, B.; Duguay, C.; Jiang, D.; Merchant, C.J.; Mueller, D.; Selmes, N.; Simis, S.; Spyrakos, E.; Stelzer, K.; Warren, M.; Yesou, H.; Zhang, D. (2022): ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.0.1. NERC EDS Centre for Environmental Data Analysis https://catalogue.ceda.ac.uk/uuid/03c935c6890c4b2ebf4aae4d84cd947
Audio Interview with Mr. C.J. Rayner Whiteley
No full textAudio - Mr. Whiteley recounts the story of delivering the message of the flood of 1904. He took seventeen hours by horse to travel from Perryvale to Edmonton. Billy Loutit took the same message by foot arriving in Edmonton about the same time. Mr. Whiteley discusses early settlers, farming, homesteading and businesses. He has many anecdotes about life and people living in Athabasca at the start of the twentieth century. He freighted for ten years with the Hudson's Bay Company and also discusses early farming prices and technology extensivelyInformative Interview of Mr. C.J. Raymor Whitely In April 1961 on a Reel to Reel tape recorded onto cassette by R. Tanhas March 198
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