20200724182908001.0ISO 19139 Metadata Implementation Specification GML3.2FALSELDoS_Tslope_tau_neg_p005.tiffile://C:\Metadata\ERL\F1c\LDoS_Tslope_tau_neg_p005.tifLocal Area Network0045825230.7832006649000.7880164336607.0343304794823.3081001ProjectedGCS_WGS_1984Linear Unit: Meter (1.000000)WGS_1984_Sinusoidal<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.6'><WKT>PROJCS["WGS_1984_Sinusoidal",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Sinusoidal"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",0.0],UNIT["Meter",1.0]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-10002100</YOrigin><XYScale>224756315.71340498</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem>32FALSENone1TIFFFALSEcontinuousfloating point-3.4028235e+38202007281311060020200728131106001500000005000ISO19139 Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.0.8321LDoS_Tslope_tau_neg_p005.tifraster digital data2018-05-31T00:00:00Environmental Research Letters61748-9326http://dx.doi.org/10.1088/1748-9326/aabd6fexternal509923e6175f6463f5ee072c2d914506Geoffrey M Henebry Department of Geography, Environment, and Spatial Sciences & Center for Global Change and Earth Observations (CGCEO), Michigan State UniversityProfessor1405 S. Harrison Road, Manly Miles Building 218East LansingMichigan48823henebryg@msu.eduUSTrueGeoffrey M Henebry externalbf2d0fdaa84020f82abb5f87d71d59ccMonika Anna TomaszewskaMichigan State UniversityResearch Associate1405 S. Harrison Road, Manly Miles Building 218East LansingMI48823monikat@msu.eduUSTrueMonika Anna Tomaszewska167.40042181.92681943.28897139.163066KyrgyzstanThis raster layer has been used to create Figure 1c in Tomaszewska, M.A., Henebry, G.M., 2018. Changing snow seasonality in the highlands of Kyrgyzstan. Environ. Res. Lett. 13, 065006. https://doi.org/10.1088/1748-9326/aabd6f
It presents results of trend analysis (negative values of Thiel-Sen slope that were significantly different from zero at p<0.05 significance level) of Last Date of Snow (LDoS) - snow metric calculated from the Terra MODIS snow cover product version 6 from 2002/03–2015/16. Details in credits section.<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN STYLE="font-size:12pt">Few studies have examined changing snow seasonality in Central Asia. Here, we analyzed changes in the seasonality of snow cover across Kyrgyzstan (KGZ) over 14 years from 2002/03–2015/16 using the most recent version (v006) of MODIS Terra and Aqua 8 day snow cover composites (MOD10A2/MYD10A2).We focused on three metrics of snow seasonality—first date of snow, last date of snow, and duration of snow season—and used nonparametric trends tests to assess the significance and direction of trends. We evaluated trends at three administration scales and across elevation. We used two techniques to assure that our identification of significant trends was not resulting from random spatial variation. First, we report only significant trends (positive or negative) that are at least twice as prevalent as the converse trends. Second, we use a two-stage analysis at the national scale to identify asymmetric directional changes in snow seasonality. </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN STYLE="font-size:12pt">Results show that more territory has been experiencing earlier onset of snow than earlier snowmelt, and roughly equivalent</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN STYLE="font-size:12pt">areas have been experiencing longer and shorter duration of snow seasons in the past 14 years. The changes are not uniform across KGZ, with significant shifts toward earlier snow arrival in western and central KGZ and significant shifts toward earlier snowmelt in eastern KGZ. The duration of the snow season has significantly shortened in western and eastern KGZ and significantly lengthened in northern and southwestern KGZ. Duration is significantly longer where the snow onset was significantly earlier or the snowmelt significantly later. There is a general trend of significantly earlier snowmelt below 3400m and the area of earlier snowmelt is 15 times greater in eastern than western</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN STYLE="font-size:12pt">districts. Significant trends in the Aqua product were less prevalent than in the Terra product, but the general trend toward earlier snowmelt was also evident in Aqua data.</SPAN></P></DIV></DIV></DIV>From: Tomaszewska, M.A., Henebry, G.M., 2018. Changing snow seasonality in the highlands of Kyrgyzstan. Environ. Res. Lett. 13, 065006. https://doi.org/10.1088/1748-9326/aabd6f
To characterize snow seasonality, we used the most recent Version 6 of the MODIS Terra snow cover 8 day composites with a nominal spatial resolution of 500m (MOD10A2) for the period of 14 years starting in 2002. This dataset reports the maximum snow cover extent observed during an 8 day period by compositing 500m observations from the MODIS daily snow cover products (MOD10A1) generated by The National Snow and Ice Data Center (https://
nsidc.org/).
We postprocessed the products by mosaicking two MODIS tiles (h23v04 and h23v05), reprojecting into WGS-1984, and extracting all pixels flagged as ‘snow’. There were 46 composited images per year per. efined the observation season for each year to start on day of the year (DOY) 169—approximately the summer solstice—and extend to DOY 168 of the following year (DOY169year through DOY168year+1). Thus, we analyzed a 14 year time series starting in the middle of 2002 and ending in middle of 2016. For each snow season, we tracked three snow cover variables: the first date of snow (FDoS), the last date of snow (LDoS), and the duration of snow season (DoSS). FDoS was the composite date when the snow pixel is marked as 1 (snow on) first time for each snow season. LDoS was calculated inversely, the composite date of the last appearance of snow during the snow season. The DoSS was the simple difference between the LDoS and the FDoS.Kyrgyzstannegative Thiel-Sen slopeLast Date of Snowp<0.05Kyrgyzstanfrom 2002/03 to 2015/16463.312714external509923e6175f6463f5ee072c2d914506Geoffrey M Henebry Department of Geography, Environment, and Spatial Sciences & Center for Global Change and Earth Observations (CGCEO), Michigan State UniversityProfessor1405 S. Harrison Road, Manly Miles Building 218East LansingMichigan48823henebryg@msu.eduUSTrueGeoffrey M Henebry external509923e6175f6463f5ee072c2d914506Geoffrey M Henebry Department of Geography, Environment, and Spatial Sciences & Center for Global Change and Earth Observations (CGCEO), Michigan State UniversityProfessor1405 S. Harrison Road, Manly Miles Building 218East LansingMichigan48823henebryg@msu.eduUSTrueGeoffrey M Henebry externalbf2d0fdaa84020f82abb5f87d71d59ccMonika Anna TomaszewskaMichigan State UniversityResearch Associate1405 S. Harrison Road, Manly Miles Building 218East LansingMI48823monikat@msu.eduUSTrueMonika Anna Tomaszewskaexternalbf2d0fdaa84020f82abb5f87d71d59ccMonika Anna TomaszewskaMichigan State UniversityResearch Associate1405 S. Harrison Road, Manly Miles Building 218East LansingMI48823monikat@msu.eduUSTrueMonika Anna TomaszewskaRaster DatasetGeoTiffdatasetESRI2105825230.783200 4336607.0343305825230.783200 4794823.3081006649000.788016 4794823.3081006649000.788016 4336607.0343306237115.785608 4565715.1712151778463.312714989463.312714Band_1-0.000000-21.33333432negative values of Thiel-Sen slope that were significantly at different from zero at p<0.05 significance level) of Last Date of Snow (LDoS) - snow metric calculated from the Terra MODIS snow cover product version 6 from 2002/03–2015/16.FalseFalseFalseFalseFalse20200728external509923e6175f6463f5ee072c2d914506Geoffrey M Henebry Department of Geography, Environment, and Spatial Sciences & Center for Global Change and Earth Observations (CGCEO), Michigan State UniversityProfessor1405 S. Harrison Road, Manly Miles Building 218East LansingMichigan48823henebryg@msu.eduUSTrueGeoffrey M Henebry 141A3D84-600A-4429-9049-53572D5CEA07external509923e6175f6463f5ee072c2d914506Geoffrey M Henebry Department of Geography, Environment, and Spatial Sciences & Center for Global Change and Earth Observations (CGCEO), Michigan State UniversityProfessor1405 S. Harrison Road, Manly Miles Building 218East LansingMichigan48823henebryg@msu.eduUSTrueGeoffrey M Henebry externalbf2d0fdaa84020f82abb5f87d71d59ccMonika Anna TomaszewskaMichigan State UniversityResearch Associate1405 S. Harrison Road, Manly Miles Building 218East LansingMI48823monikat@msu.eduUSTrueMonika Anna Tomaszewskaexternalbf2d0fdaa84020f82abb5f87d71d59ccMonika Anna TomaszewskaMichigan State UniversityResearch Associate1405 S. Harrison Road, Manly Miles Building 218East LansingMI48823monikat@msu.eduUSTrueMonika Anna Tomaszewska