MediaWiki API result

This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.

Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.

See the complete documentation, or the API help for more information.

{
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    "continue": {
        "gapcontinue": "Running_Topmodel",
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    "warnings": {
        "main": {
            "*": "Subscribe to the mediawiki-api-announce mailing list at <https://lists.wikimedia.org/mailman/listinfo/mediawiki-api-announce> for notice of API deprecations and breaking changes."
        },
        "revisions": {
            "*": "Because \"rvslots\" was not specified, a legacy format has been used for the output. This format is deprecated, and in the future the new format will always be used."
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        "pages": {
            "1902": {
                "pageid": 1902,
                "ns": 0,
                "title": "Readoptimfile",
                "revisions": [
                    {
                        "contentformat": "text/x-wiki",
                        "contentmodel": "wikitext",
                        "*": "An example of the format of a file from which parameter values are read in:<br/>\n\n.true.  -0.02  0.006  -0.00868<br/>\n.true. -4.0e-5 4.0e-5 1.42e-5<br/>\n.true. 0.002 0.008 0.00320<br/>\n.true. 0.002 0.013 0.0104<br/>\n.true. -0.2 1.8 -0.18<br/>\n.true. 0.0 1.0 0.0345<br/>\n.false. 0.0 1.0 0.8<br/>\n.false. 0.0 1.0 0.0<br/>\n.false. 0.0 1.0 1.0<br/>\n\nfor each parameter give whether it should be optimized, its likely minimum and maximum values and its initial value. When a parameter is not to be optimized, the initial value will be fixed for the duration of the model run and the minimum/maximum range are ignored\n\nIn this case the order of parameters are:\n\n# lapserateartm \n# lapserateprcp \n# pddfs\n# pddfi \n# rainsnowtrans \n# wmax \n# fiddle \n# offsetartm\n# offsetprcp\n\n\n\n=== lapserateartm === \nAir temperature lapse rate. The rate at which air cools with a change in elevation.\n\n\n=== lapserateprcp ===\nPrecipitation lapse rate. The rate at which precipitation changes with elevation."
                    }
                ]
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            "1919": {
                "pageid": 1919,
                "ns": 0,
                "title": "Remote sensing data",
                "revisions": [
                    {
                        "contentformat": "text/x-wiki",
                        "contentmodel": "wikitext",
                        "*": "[[Category:Projects]]\n[[Category:Remote Sensing]]\n\n== Overview of remote sensing data that may be useful for hydrological analysis ==\n\n=== Spectrometer ===\n\n{|border = \"1\"\n!Institute!!Satellite!!Sensor!!channels!!launched!!resolution!!Notes\n|-\n|ESA ||[http://en.wikipedia.org/wiki/Envisat ENVISAT]  ||MERIS   ||15||March 2002||260x290m||Visible and Near Infrared spectrum (390 to 1040 nm), cloud cover, water bodies, frequency 3 days (higher at the poles)\n|-\n|NASA\n|TIROS-N\n|AVHRR\n|4\n| <!-- launch data unknown -->\n|1.09x1.09km\n| rowspan=\"6\" valign=\"top\"| http://www.nsof.class.noaa.gov. <br/> Can be used for cloud cover (Bendix et al.), surface temperature (ref), delineation of water bodies (Zhou et al., 2000)\n|-\n|NOAA||NOAA-7||AVHRR||5||         ||\n|-\n|NOAA||NOAA-15||AVHRR||6||May 1998||\n|-\n|NOAA||NOAA-16||AVHRR||6||Sep 2000||\n|-\n|NOAA||NOAA-17||AVHRR||6||Jun 2002||\n|-\n|NOAA||NOAA-18||AVHRR||6||May 2005||\n|-\n|Eumetsat||METOP||AVHRR||?||||||cloud cover, surface temperature\n|-\n|ESA||MSG-1 & 2 (Meteosat-8 & 9)||SEVIRI||12||2002||||Spinning Enhanced Visible and Infrared Imager. [[http://www.eumetsat.int/Home/Main/Access_to_Data/Meteosat_Image_Services/SP_1123237865326 Africa and Europe]] @ 15 minutes. 8 channels can be used for monitoring the earth surface. Channel 12 is a high resolution visible (hrv) channel. Resolution: 3 km at the sub-satellite point (5 \u2013 6 km over Europe). Channel 12 has a resolution of 1 km at the sub-satellite point (1.5 \u2013 2 km over Europe). Can be used for precipitation (see e.g. Thies et al. doi:10.1029/2008JD010464)\n|-\n|NASA||TRMM||??||||||25x25km (0.25\u00b0)|| rainfall\n|-\n|NASA||AQUA||AMSR-E||||May 2002||6.25 - 25 km||Wind speed, water vapor, cloud liquid water, Snow water equivalent,Surface Soil Moisture (daily). [[http://wwwghcc.msfc.nasa.gov/AMSR/data_products.html More details]].\n|-\n|NASA||TERRA||ASTER||[http://en.wikipedia.org/wiki/Advanced_Spaceborne_Thermal_Emission_and_Reflection_Radiometer 15]||1999||15-90m||temperature, reflectance, elevation, land use. On demand; some images exist for the Andes\n|-\n|NASA||TERRA/AQUA||[http://en.wikipedia.org/wiki/MODIS MODIS]||36||1999/2002||see notes||http://www.landcover.org, spatial resolution: 250 m (bands 1-2) 500 m (bands 3-7) 1000 m (bands 8-36), temporal resolution 1 to 2 days, visible and near infrared (400 to 14400 nm)\n|}\n\n=== radar ===\n\n{|border = \"1\"\n!Institute!!Satellite!!Sensor!!launched!!resolution!!Notes\n|-\n|ESA ||[http://en.wikipedia.org/wiki/Envisat ENVISAT]||ASAR    ||March 2002||30m||APG HH and HV -> delineation of water bodies\n|-\n|ESA ||[http://en.wikipedia.org/wiki/Envisat ENVISAT]||Altimeter||March 2002||400m||altitude (only 1 dimension)\n|-\n|MDA||[http://en.wikipedia.org/wiki/RADARSAT-1 RADARSAT-1]||ASAR||November 1995||10m||commercial (Canadian private company)\n|-\n|MDA||[http://en.wikipedia.org/wiki/RADARSAT-2 RADARSAT-2]||ASAR||December 2007||3m||commercial (Canadian private company)\n|-\n|ASI||[http://en.wikipedia.org/wiki/COSMO-SkyMed COSMO-SkyMed]||SAR||June 2007|| || Constellation of 4 satellites\n|}\n\n\n=== other ===\n\n\n\nOne that has not gone up yet: [http://bprc.osu.edu/water/index.php SWOT]\n\n\n== Data aquisition ==\n\n=== ESA ===\n\nESA is a very big engine and it is tricky to find what you are actually looking for or what you need but there is lots:\n\nThe following link is a shortcut to ESA's 'Resources' page that includes upcoming workshops, the ESA library, data samples and archives, and probably most useful for anyone working with ESA data, there are ESA-tailored software tools that run free-of-charge on Windows, linux and also MacOS (although mac versions are usually appearing a bit later than the other two!): http://earth.esa.int/resources/\nP.S. I attended an ESA Land Training course in Lisbon in September 2007 on Flooding/Soil moisture and Forests and have lots of lecture notes on ASAR, ALOS and how to use these data with the BEST, BEAM and POLSARPRO packages (I have actually worked with an ALOS quadpol for tree height and soil moisture retrieval: amazing data!). \nIf you want any of these notes or some help, just email me (guy.schumann@bristol.ac.uk) and I'll try to help!  \n \nThere is a useful tool from the ESA website to search for available images (does ENVISAT and others):\n\nhttp://eoli.esa.int/\n\nTo access online (last 7-10 days) data and submit CAT-1 (free data) proposals for projects: \n\nhttp://earth.esa.int/dataproducts/accessingeodata/\n\nTo answer third party mission (from non-ESA satellites) calls: http://eopi.esa.int/esa/esa?type=10&cmd=aolist, and go to the 'TPM' link to the left of the page,\n\nand AO (Announcement of Opportunities) calls: http://eopi.esa.int/esa/esa?type=10&cmd=aolist\n\n=== ESA conferences and workshops ===\n\nAnyone interested in this year's (2008) ESA summer school in August (4-14) at the ESRIN centre in Italy? Topic: Data assimilation, monitoring and modelling the Earth System. Have a look at: http://envisat.esa.int/envschool/\n\n== Detailed info on satellites ==\n\n=== meteosat ===\n\nThe channels of SEVERI on board meteosat-8 (spectral band / \u03bcm)\n\n(from http://las.physik.uni-oldenburg.de/eProceedings/vol05_1/05_1_de-ruyter1.pdf)\n\n\n{|border=1\n!Channel!!min!!max!!description\n|-\n| 1 || 0.635 || 0.56 || 0.71 visual\n|-\n| 2 || 0.81 || 0.74 || 0.88 visual\n|-\n| 3 || 1.64 || 1.50 || 1.78 near infrared\n|-\n| 4 || 3.90 || 3.48 || 4.36 infrared\n|-\n| 5 || 6.25 || 5.35 || 7.15 infrared (water vapour absorption)\n|-\n| 6 || 7.35 || 6.85 || 7.85 infrared (water vapour absorption)\n|-\n| 7 || 8.70 || 8.30 || 9.1 infrared\n|-\n|  8 || 9.66 || 9.38 || 9.94 infrared (ozone absorption)\n|-\n|  9 || 10.80 || 9.80 || 11.80 infrared\n|-\n| 10 || 12.00 || 11.00 || 13.00 infrared\n|-\n| 11 || 13.40 || 12.40 || 14.40 infrared (CO2 absorption)\n|-\n| 12 || 0.75 || 0.60 || 0.90 high resolution visual broadband (hrv)\n|}\n\n\n== Processing ==\n\n=== Envisat altimeter ===\n\nSome information that may make life easier when dealing with ESA's altimeter N1 files:\n\n* ESA's [http://earth.esa.int/brat/html/data/toolbox_en.html Basic Radar Altimeter Toolbox] provides a set of tools and an interface for extracting data from the original N1 files. The interface is broken on recent linux versions due to obsolete dependencies but the command line tools work.  \n\n* The XY extraction utility (BratCreateZFXY) does not seem capable of extracting the original data directly. It requires a predefined raster size and automatically interpolates before exporting.\n\n* BratCreateYFX extracts the measurements in the original resolution. However it only includes one dimension so you have to add the other one manually as a dataset. Something like this in the parameter file:\n\n     # longitude\n     X=lon\n     X_NAME=X\n     X_TYPE=Longitude\n     X_UNIT=degrees_east\n     X_TITLE=X\n     # latitude\n     FIELD=lat\n     FIELD_NAME=Y\n     FIELD_TYPE=Data\n     FIELD_UNIT=count\n     FIELD_TITLE=Y\n     # data of interest follow\n     FIELD=alt_cog_ellip\n     FIELD_NAME=alt_cog_ellip\n     FIELD_TYPE=Data\n     FIELD_UNIT=mm\n     FIELD_TITLE=alt_cog_ellip\n\n* Extracting many fields from many files is '''much''' easier using the command line tools and a batch script. \n\n== downscaling techniques ==\n\n=== statistical ===\n\nsingular vector decomposition\n\nBretherton CS, Smith C, Wallace JM. 1992. An intercomparison of methods for finding coupled patterns in climate data. Journal of Wilks DS. 1995. Statistical Methods in the Atmospheric Sciences. Climate 5: 541\u2013560\n\n\n=== dynamical ==="
                    }
                ]
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}