Assessment of uncertainties in global land cover products for hydro‐climate modeling in India
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[1] Harsh L. Shah,et al. Hydrologic Changes in Indian Subcontinental River Basins (1901–2012) , 2016 .
[2] Limin Yang,et al. Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data , 2000 .
[3] J. Townshend,et al. Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .
[4] G. Destouni,et al. Local flow regulation and irrigation raise global human water consumption and footprint , 2015, Science.
[5] A. Robock,et al. Impacts of land cover data quality on regional climate simulations , 2010 .
[6] Jin Chen,et al. Global land cover mapping at 30 m resolution: A POK-based operational approach , 2015 .
[7] Thibault Mathevet,et al. All that glitters is not gold: the case of calibrating hydrological models , 2012 .
[8] Keith E. Schilling,et al. Increasing streamflow and baseflow in Mississippi River since the 1940 s: Effect of land use change , 2006 .
[9] Arturo E. Hernandez,et al. Generation and analysis of the 2005 land cover map for Mexico using 250m MODIS data , 2012 .
[10] G. Destouni,et al. Irrigation Effects on Hydro-Climatic Change: Basin-Wise Water Balance-Constrained Quantification and Cross-Regional Comparison , 2014, Surveys in Geophysics.
[11] Laurence C. Smith,et al. How well do we know northern land cover? Comparison of four global vegetation and wetland products with a new ground‐truth database for West Siberia , 2007 .
[12] M. Hansen,et al. A comparison of the IGBP DISCover and University of Maryland 1 km global land cover products , 2000 .
[13] G. Destouni,et al. Hydrological responses to climate change conditioned by historic alterations of land-use and water-use , 2011 .
[14] W. Rawls,et al. Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions , 2006 .
[15] Xubin Zeng,et al. Global Vegetation Root Distribution for Land Modeling , 2001 .
[16] Weiqi Zhou,et al. Evaluation of the National Land Cover Database for Hydrologic Applications in Urban and Suburban Baltimore, Maryland 1 , 2010 .
[17] Roger A. Pielke,et al. Changes in moisture and energy fluxes due to agricultural land use and irrigation in the Indian Monsoon Belt , 2006 .
[18] Damien Sulla-Menashe,et al. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .
[19] J. Foley,et al. Simulated impacts of irrigation on the atmospheric circulation over Asia , 2009 .
[20] Martin Herold,et al. Some challenges in global land cover mapping : An assessment of agreement and accuracy in existing 1 km datasets , 2008 .
[21] Steffen Fritz,et al. Identifying and quantifying uncertainty and spatial disagreement in the comparison of Global Land Cover for different applications , 2008 .
[22] S. Fritz,et al. Comparison of global and regional land cover maps with statistical information for the agricultural domain in Africa , 2010 .
[23] Victor Barrena Arroyo,et al. A land cover map of Latin America and the Caribbean in the framework of the SERENA project , 2013 .
[24] A. K. Gosain,et al. Climate change impact assessment on hydrology of Indian river basins , 2006 .
[25] D. Lettenmaier,et al. Hydrologic effects of land and water management in North America and Asia: 1700–1992 , 2006 .
[26] Maosheng Zhao,et al. Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .
[27] P. Döll,et al. Groundwater use for irrigation - a global inventory , 2010 .
[28] P. Döll,et al. MIRCA2000—Global monthly irrigated and rainfed crop areas around the year 2000: A new high‐resolution data set for agricultural and hydrological modeling , 2010 .
[29] D. Raje,et al. Macroscale hydrological modelling approach for study of large scale hydrologic impacts under climate change in Indian river basins , 2014 .
[30] Balaji Rajagopalan,et al. Effects of irrigation and vegetation activity on early Indian summer monsoon variability , 2009 .
[31] Maoyi Huang,et al. Modeling the effects of irrigation on land surface fluxes and states over the conterminous United States: Sensitivity to input data and model parameters , 2013 .
[32] I. Rodríguez‐Iturbe. Ecohydrology: A hydrologic perspective of climate‐soil‐vegetation dynamies , 2000 .
[33] Hannes Isaak Reuter,et al. An evaluation of void‐filling interpolation methods for SRTM data , 2007, Int. J. Geogr. Inf. Sci..
[34] Michael J. Puma,et al. Irrigation as an historical climate forcing , 2014, Climate Dynamics.
[35] S. Nilsson,et al. A spatial comparison of four satellite derived 1 km global land cover datasets , 2006 .
[36] C. Madhusoodhanan,et al. Climate change impact assessments on the water resources of India under extensive human interventions , 2016, Ambio.
[37] Y. Xue,et al. Hydrological Land Surface Response in a Tropical Regime and a Midlatitudinal Regime , 2002 .
[38] A. Ducharne,et al. Comprehensive data set of global land cover change for land surface model applications , 2008 .
[39] W. Steffen,et al. Human modification of global water vapor flows from the land surface. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[40] Jungho Im,et al. Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches , 2016, Remote. Sens..
[41] A. Ruane,et al. Climate forcing datasets for agricultural modeling: Merged products for gap-filling and historical climate series estimation , 2015 .
[42] C. Justice,et al. Global land cover classification by remote sensing: present capabilities and future possibilities , 1991 .
[43] Christopher A. Scott,et al. Impacts of irrigation and anthropogenic aerosols on the water balance, heat fluxes, and surface temperature in a river basin , 2008 .
[44] B. Poulter,et al. Use of various remote sensing land cover products for plant functional type mapping over Siberia , 2013 .
[45] C. Woodcock,et al. Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation , 2013 .
[46] Y. Qian,et al. A Modeling Study of Irrigation Effects on Surface Fluxes and Land–Air–Cloud Interactions in the Southern Great Plains , 2013 .
[47] Dennis P. Lettenmaier,et al. Effects of irrigation on the water and energy balances of the Colorado and Mekong river basins , 2006 .
[48] O. Boucher,et al. Direct human influence of irrigation on atmospheric water vapour and climate , 2004 .
[49] Qiuhong Tang,et al. A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate , 2015 .
[50] D. Toll,et al. Simulating the Effects of Irrigation over the United States in a Land Surface Model Based on Satellite-Derived Agricultural Data , 2010 .
[51] 蒋子堃. A Jurassic wood providing insights into the earliest step in Ginkgo wood evolution. , 2016 .
[52] Arjen Ysbert Hoekstra,et al. Going against the flow: A critical analysis of inter-state virtual water trade in the context of India’s National River Linking Program , 2009, Physics and Chemistry of the Earth, Parts A/B/C.
[53] Georgia Destouni,et al. Developing water change spectra and distinguishing change drivers worldwide , 2014 .
[54] Martha C. Anderson,et al. Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River basin , 2014 .
[55] Damien Sulla-Menashe,et al. A Global Land Cover Climatology Using MODIS Data , 2014 .
[56] A. Belward,et al. GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .
[57] Jean-François Mas,et al. A Suite of Tools for Assessing Thematic Map Accuracy , 2014 .
[58] David Lobell,et al. Empirical evidence for a recent slowdown in irrigation-induced cooling , 2007, Proceedings of the National Academy of Sciences.
[59] B. Cook,et al. Irrigation induced surface cooling in the context of modern and increased greenhouse gas forcing , 2011 .
[60] Trent W. Biggs,et al. Mapping daily and seasonal evapotranspiration from irrigated crops using global climate grids and satellite imagery: Automation and methods comparison , 2016 .
[61] N. Coops,et al. Satellites: Make Earth observations open access , 2014, Nature.
[62] Hao Jiang,et al. Assessing Consistency of Five Global Land Cover Data Sets in China , 2014, Remote. Sens..
[63] J. Polcher,et al. Global effect of irrigation and its impact on the onset of the Indian summer monsoon , 2012, Climate Dynamics.
[64] Roger A. Pielke,et al. The impact of agricultural intensification and irrigation on land-atmosphere interactions and Indian monsoon precipitation — A mesoscale modeling perspective , 2009 .
[65] R. Oglesby,et al. Weakening of Indian Summer Monsoon Rainfall due to Changes in Land Use Land Cover , 2016, Scientific Reports.
[66] A. Henderson‐sellers,et al. A global archive of land cover and soils data for use in general circulation climate models , 1985 .
[67] D. Lettenmaier,et al. A simple hydrologically based model of land surface water and energy fluxes for general circulation models , 1994 .
[68] N. Miller,et al. Regional simulations to quantify land use change and irrigation impacts on hydroclimate in the California Central Valley , 2011 .
[69] Jianjun Ge,et al. Impacts of land use/cover classification accuracy on regional climate simulations , 2007 .
[70] Reed M. Maxwell,et al. Human impacts on terrestrial hydrology: climate change versus pumping and irrigation , 2012 .
[71] Nandin-Erdene Tsendbazar,et al. Comparative assessment of thematic accuracy of GLC maps for specific applications using existing reference data , 2016, Int. J. Appl. Earth Obs. Geoinformation.
[72] Steffen Fritz,et al. Highlighting continued uncertainty in global land cover maps for the user community , 2011 .
[73] Margaret S. Torn,et al. Vegetation controls on surface heat flux partitioning, and land‐atmosphere coupling , 2015 .
[74] O. P. Sreejith,et al. Development of a new high spatial resolution (0.25° × 0.25°) long period (1901-2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region , 2014 .
[75] Geoffrey J. Hay,et al. Uncertainties in land use data , 2006 .
[76] Eric F. Wood,et al. Predicting the Discharge of Global Rivers , 2001, Journal of Climate.
[77] A. Ducharne,et al. The impact of global land-cover change on the terrestrial water cycle , 2013 .
[78] Anamika Arora,et al. Climate change impact assessment of water resources of India , 2011 .
[79] Andrew E. Suyker,et al. Land management and land-cover change have impacts of similar magnitude on surface temperature , 2014 .
[80] Renaud Mathieu,et al. Validation of Global Evapotranspiration Product (MOD16) using Flux Tower Data in the African Savanna, South Africa , 2014, Remote. Sens..
[81] D. Raje,et al. Bayesian parameter uncertainty modeling in a macroscale hydrologic model and its impact on Indian river basin hydrology under climate change , 2012 .
[82] P. Diwakar,et al. Quantification and monitoring of deforestation in India over eight decades (1930–2013) , 2015, Biodiversity and Conservation.
[83] Le Yu,et al. Mapping global land cover in 2001 and 2010 with spatial-temporal consistency at 250 m resolution , 2015 .
[84] Rasim Latifovic,et al. Accuracy assessment using sub-pixel fractional error matrices of global land cover products derived from satellite data , 2004 .
[85] Shu Peng,et al. A web-based system for supporting global land cover data production , 2015 .
[86] Martha C. Anderson,et al. Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources , 2012 .
[87] P. Dirmeyer,et al. University of Nebraska-Lincoln DigitalCommons @ University of Nebraska-Lincoln Papers in Natural Resources Natural Resources , School of 2014 Land cover changes and their biogeophysical effects on climate , 2016 .