Skip to main content

2024 | OriginalPaper | Buchkapitel

2. Data Availability and Aquisition

verfasst von : Vijay P. Singh, Rajendra Singh, Pranesh Kumar Paul, Deepak Singh Bisht, Srishti Gaur

Erschienen in: Hydrological Processes Modelling and Data Analysis

Verlag: Springer Nature Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The hydrologic analysis relies on the availability of accurate and reliable data to effectively analyse the complex behaviour of hydrologic processes. However, the constraints and scarcity of data present significant challenges in achieving the desired accuracy and reliability. Researchers have leveraged various data sources to overcome data constraints, including ground-based observations, global and reanalysis datasets, and remote sensing information. Hydrologic analysis can be significantly enhanced by integrating these diverse data sources, enabling a deeper understanding of the complex phenomenon of water exchange between the soil-plan-atmosphere continuum. Furthermore, accurate hydrologic analyses facilitate improved water allocation, flood forecasting, drought management, and assessment of climate change impacts on water resources. The availability of reanalysis data, climate projections, and satellite-derived estimates from various sources provides valuable insights for researchers and practitioners involved in water resource management and climate change impact assessment. By capitalising on these rich data sources, researchers can develop robust models that support informed decision-making processes in water management and adaptation strategies. This chapter aims to explore the extensive range of data sources that can be readily availed to carry out hydrologic studies, focusing on addressing the challenges posed by limited data availability.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Adler RF, Huffman GJ, Chang A, Ferraro R, Ping-Ping X (2003) The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present). J Hydrometeorol 4:1147–1167CrossRef Adler RF, Huffman GJ, Chang A, Ferraro R, Ping-Ping X (2003) The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present). J Hydrometeorol 4:1147–1167CrossRef
Zurück zum Zitat Ashouri H, Hsu KL, Sorooshian S, Braithwaite DK, Knapp KR, Cecil LD et al (2015) PERSIANN-CDR: daily precipitation climate data record from multi-satellite observations for hydrologic and climate studies. Bull Am Meteorol Soc 96(1):69–83CrossRef Ashouri H, Hsu KL, Sorooshian S, Braithwaite DK, Knapp KR, Cecil LD et al (2015) PERSIANN-CDR: daily precipitation climate data record from multi-satellite observations for hydrologic and climate studies. Bull Am Meteorol Soc 96(1):69–83CrossRef
Zurück zum Zitat Beck HE, van Dijk AIJM, Levizzani V, Schellekens J, Miralles DG, Martens B, de Roo A (2017) MSWEP: 3-hourly 0.25 degrees global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data. Hydrol Earth Syst Sci 21(1):589–615 Beck HE, van Dijk AIJM, Levizzani V, Schellekens J, Miralles DG, Martens B, de Roo A (2017) MSWEP: 3-hourly 0.25 degrees global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data. Hydrol Earth Syst Sci 21(1):589–615
Zurück zum Zitat Belward AS, Estes JE, Kline KD (1999) The IGBP-DIS global 1-km land-cover data set DISCover: a project overview. Photogramm Eng Remote Sens 65:1013–1020 Belward AS, Estes JE, Kline KD (1999) The IGBP-DIS global 1-km land-cover data set DISCover: a project overview. Photogramm Eng Remote Sens 65:1013–1020
Zurück zum Zitat Beria H, Nanda T, Bisht DS, Chatterjee C (2017) Does the GPM mission improve the systematic error component in satellite rainfall estimates over TRMM? An evaluation at a pan-India scale. Hydrol Earth Syst Sci 21(12):6117–6134CrossRef Beria H, Nanda T, Bisht DS, Chatterjee C (2017) Does the GPM mission improve the systematic error component in satellite rainfall estimates over TRMM? An evaluation at a pan-India scale. Hydrol Earth Syst Sci 21(12):6117–6134CrossRef
Zurück zum Zitat Bisht DS, Chatterjee C, Raghuwanshi NS, Sridhar V (2018a) Spatio-temporal trends of rainfall across Indian river basins. Theor Appl Climatol 132:419–436CrossRef Bisht DS, Chatterjee C, Raghuwanshi NS, Sridhar V (2018a) Spatio-temporal trends of rainfall across Indian river basins. Theor Appl Climatol 132:419–436CrossRef
Zurück zum Zitat Bisht DS, Chatterjee C, Raghuwanshi NS, Sridhar V (2018b) An analysis of precipitation climatology over Indian urban agglomeration. Theor Appl Climatol 133:421–436CrossRef Bisht DS, Chatterjee C, Raghuwanshi NS, Sridhar V (2018b) An analysis of precipitation climatology over Indian urban agglomeration. Theor Appl Climatol 133:421–436CrossRef
Zurück zum Zitat Bisht DS, Mohite AR, Jena PP, Khatun A, Chatterjee C, Raghuwanshi NS et al (2020) Impact of climate change on streamflow regime of a large Indian river basin using a novel monthly hybrid bias correction technique and a conceptual modelling framework. J Hydrol 590:125448CrossRef Bisht DS, Mohite AR, Jena PP, Khatun A, Chatterjee C, Raghuwanshi NS et al (2020) Impact of climate change on streamflow regime of a large Indian river basin using a novel monthly hybrid bias correction technique and a conceptual modelling framework. J Hydrol 590:125448CrossRef
Zurück zum Zitat Bisht DS, Sridhar V, Mishra A, Chatterjee C, Raghuwanshi NS (2019) Drought characterization over India under projected climate scenario. Int J Climatol 39(4):1889–1911CrossRef Bisht DS, Sridhar V, Mishra A, Chatterjee C, Raghuwanshi NS (2019) Drought characterization over India under projected climate scenario. Int J Climatol 39(4):1889–1911CrossRef
Zurück zum Zitat Braithwaite RJ (1995) Positive degree-day factors for ablation on the Greenland ice sheet studied by energy-balance modelling. J Glaciol 41(137):153–160CrossRef Braithwaite RJ (1995) Positive degree-day factors for ablation on the Greenland ice sheet studied by energy-balance modelling. J Glaciol 41(137):153–160CrossRef
Zurück zum Zitat Brocca L, Ciabatta L, Massari C, Moramarco T, Hahn S, Hasenauer S et al (2014) Soil as a natural rain gauge: estimating global rainfall from satellite soil moisture data. J Geophys Res Atmos 119(9):5128–5141CrossRef Brocca L, Ciabatta L, Massari C, Moramarco T, Hahn S, Hasenauer S et al (2014) Soil as a natural rain gauge: estimating global rainfall from satellite soil moisture data. J Geophys Res Atmos 119(9):5128–5141CrossRef
Zurück zum Zitat Brocca L, Filippucci P, Hahn S, Ciabatta L, Massari C, Camici S et al (2019) SM2RAIN-ASCAT (2007–2018): global daily satellite rainfall data from ASCAT soil moisture observations. Earth Syst Sci Data 11(4):1583–1601CrossRef Brocca L, Filippucci P, Hahn S, Ciabatta L, Massari C, Camici S et al (2019) SM2RAIN-ASCAT (2007–2018): global daily satellite rainfall data from ASCAT soil moisture observations. Earth Syst Sci Data 11(4):1583–1601CrossRef
Zurück zum Zitat Brown JF, Loveland TR, Ohlen DO, Zhu ZL (1999) The global land-cover characteristics database: the users’ perspective. Photogramm Eng Remote Sens 65:1069–1074 Brown JF, Loveland TR, Ohlen DO, Zhu ZL (1999) The global land-cover characteristics database: the users’ perspective. Photogramm Eng Remote Sens 65:1069–1074
Zurück zum Zitat Buchhorn M, Lesiv M, Tsendbazar NE, Herold M, Bertels L, Smets B (2020a) Copernicus global land cover layers—collection 2. Remote Sens 12(6):1044CrossRef Buchhorn M, Lesiv M, Tsendbazar NE, Herold M, Bertels L, Smets B (2020a) Copernicus global land cover layers—collection 2. Remote Sens 12(6):1044CrossRef
Zurück zum Zitat Buchhorn M, Smets B, Bertels L, De Roo B, Lesiv M, Tsendbazar NE et al (2020b) Copernicus global land service: land cover 100 m: version 3 globe 2015–2019: product user manual Buchhorn M, Smets B, Bertels L, De Roo B, Lesiv M, Tsendbazar NE et al (2020b) Copernicus global land service: land cover 100 m: version 3 globe 2015–2019: product user manual
Zurück zum Zitat Buchhorn M, Bertels L, Smets B, De Roo B, Lesiv M, Tsendbazar NE, et al. (2020c) Copernicus global land service: land cover 100 m: version 3 globe 2015–2019: algorithm theoretical basis document Buchhorn M, Bertels L, Smets B, De Roo B, Lesiv M, Tsendbazar NE, et al. (2020c) Copernicus global land service: land cover 100 m: version 3 globe 2015–2019: algorithm theoretical basis document
Zurück zum Zitat Chen J, Chen J, Liao A, Cao X, Chen L, Chen X et al (2015) Global land cover mapping at 30 m resolution: a POK-based operational approach. ISPRS J Photogramm Remote Sens 103:7–27CrossRef Chen J, Chen J, Liao A, Cao X, Chen L, Chen X et al (2015) Global land cover mapping at 30 m resolution: a POK-based operational approach. ISPRS J Photogramm Remote Sens 103:7–27CrossRef
Zurück zum Zitat Compo GP, Whitaker JS, Sardeshmukh PD, Matsui N, Allan R, Yin X et al (2011) The twentieth century reanalysis project. Q J R Meteorol Soc 137(654):1–28CrossRef Compo GP, Whitaker JS, Sardeshmukh PD, Matsui N, Allan R, Yin X et al (2011) The twentieth century reanalysis project. Q J R Meteorol Soc 137(654):1–28CrossRef
Zurück zum Zitat Das AK, Kaur S (2016) Performance of IMD multi-model ensemble and WRF (ARW) model for sub-basin wise rainfall forecast during monsoon 2012. Mausam 67(2):323–332CrossRef Das AK, Kaur S (2016) Performance of IMD multi-model ensemble and WRF (ARW) model for sub-basin wise rainfall forecast during monsoon 2012. Mausam 67(2):323–332CrossRef
Zurück zum Zitat Das S, Das J, Umamahesh NV (2021) Identification of future meteorological drought hotspots over Indian region: a study based on NEX-GDDP data. Int J Climatol 41(12):5644–5662CrossRef Das S, Das J, Umamahesh NV (2021) Identification of future meteorological drought hotspots over Indian region: a study based on NEX-GDDP data. Int J Climatol 41(12):5644–5662CrossRef
Zurück zum Zitat Deshpande NR, Kothawale DR, Kulkarni A (2016) Changes in climate extremes over major river basins of India. Int J Climatol 36(14):4548–4559CrossRef Deshpande NR, Kothawale DR, Kulkarni A (2016) Changes in climate extremes over major river basins of India. Int J Climatol 36(14):4548–4559CrossRef
Zurück zum Zitat ESA (2017) Land cover CCI. Product user guide. Version 2.0 ESA (2017) Land cover CCI. Product user guide. Version 2.0
Zurück zum Zitat Friedl MA, McIver DK, Hodges JC, Zhang XY, Muchoney D, Strahler AH et al (2002) Global land cover mapping from MODIS: algorithms and early results. Remote Sens Environ 83:287–302CrossRef Friedl MA, McIver DK, Hodges JC, Zhang XY, Muchoney D, Strahler AH et al (2002) Global land cover mapping from MODIS: algorithms and early results. Remote Sens Environ 83:287–302CrossRef
Zurück zum Zitat Friedl MA, Sulla-Menashe D, Tan B, Schneider A, Ramankutty N, Sibley A et al (2010) MODIS collection 5 global land cover: algorithm refinements and characterization of new datasets. Remote Sens Environ 114(1):168–182CrossRef Friedl MA, Sulla-Menashe D, Tan B, Schneider A, Ramankutty N, Sibley A et al (2010) MODIS collection 5 global land cover: algorithm refinements and characterization of new datasets. Remote Sens Environ 114(1):168–182CrossRef
Zurück zum Zitat Funk C, Peterson P, Landsfeld M, Pedreros D, Verdin J, Shukla S et al (2015) The climate hazards infrared precipitation with stations—A new environmental record for monitoring extremes. Sci Data 2:1–21CrossRef Funk C, Peterson P, Landsfeld M, Pedreros D, Verdin J, Shukla S et al (2015) The climate hazards infrared precipitation with stations—A new environmental record for monitoring extremes. Sci Data 2:1–21CrossRef
Zurück zum Zitat Gelaro R, McCarty W, Suárez MJ, Todling R, Molod A, Takacs L et al (2017) The modern-era retrospective analysis for research and applications, version 2 (MERRA-2). J Clim 30(14):5419–5454CrossRef Gelaro R, McCarty W, Suárez MJ, Todling R, Molod A, Takacs L et al (2017) The modern-era retrospective analysis for research and applications, version 2 (MERRA-2). J Clim 30(14):5419–5454CrossRef
Zurück zum Zitat Giorgi F, Gutowski WJ Jr (2015) Regional dynamical downscaling and the CORDEX initiative. Annu Rev Environ Resour 40:467–490CrossRef Giorgi F, Gutowski WJ Jr (2015) Regional dynamical downscaling and the CORDEX initiative. Annu Rev Environ Resour 40:467–490CrossRef
Zurück zum Zitat Hansen MC, Defries RS, Townshend JRG, Sohlberg R (2000) Global land cover classification at 1 km spatial resolution using a classification tree approach. Int J Remote Sens 21:1331–1364CrossRef Hansen MC, Defries RS, Townshend JRG, Sohlberg R (2000) Global land cover classification at 1 km spatial resolution using a classification tree approach. Int J Remote Sens 21:1331–1364CrossRef
Zurück zum Zitat Hengl T, Mendes de Jesus J, Heuvelink GB, Ruiperez Gonzalez M, Kilibarda M, Blagotić A et al (2017) SoilGrids250m: global gridded soil information based on machine learning. PLoS ONE 12(2):e0169748CrossRef Hengl T, Mendes de Jesus J, Heuvelink GB, Ruiperez Gonzalez M, Kilibarda M, Blagotić A et al (2017) SoilGrids250m: global gridded soil information based on machine learning. PLoS ONE 12(2):e0169748CrossRef
Zurück zum Zitat Hou AY, Kakar RK, Neeck S, Azarbarzin AA, Kummerow CD, Kojima M et al (2014) The global precipitation measurement mission. Bull Am Meteorol Soc 95(5):701–722CrossRef Hou AY, Kakar RK, Neeck S, Azarbarzin AA, Kummerow CD, Kojima M et al (2014) The global precipitation measurement mission. Bull Am Meteorol Soc 95(5):701–722CrossRef
Zurück zum Zitat Hua T, Zhao W, Liu Y, Wang S, Yang S (2018) Spatial consistency assessments for global land-cover datasets: A comparison among GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO. Remote Sens 10(11):1846 Hua T, Zhao W, Liu Y, Wang S, Yang S (2018) Spatial consistency assessments for global land-cover datasets: A comparison among GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO. Remote Sens 10(11):1846
Zurück zum Zitat Huffman GJ, Bolvin DT (2013) Version 1.2 GPCP one-degree daily precipitation data set documentation Huffman GJ, Bolvin DT (2013) Version 1.2 GPCP one-degree daily precipitation data set documentation
Zurück zum Zitat Huffman GJ, Bolvin DT, Nelkin EJ, Wolff DB, Adler RF, Gu G et al (2007) The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol 8(1):38–55CrossRef Huffman GJ, Bolvin DT, Nelkin EJ, Wolff DB, Adler RF, Gu G et al (2007) The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol 8(1):38–55CrossRef
Zurück zum Zitat Joyce RJ, Janowiak JE, Arkin PA, Xie P (2004) CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J Hydrometeorol 5:487–503CrossRef Joyce RJ, Janowiak JE, Arkin PA, Xie P (2004) CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J Hydrometeorol 5:487–503CrossRef
Zurück zum Zitat Khatun A, Sahoo B, Chatterjee C (2023) Two novel error-updating model frameworks for short-to-medium range streamflow forecasting using bias-corrected rainfall inputs: development and comparative assessment. J of Hydrol 618:129199CrossRef Khatun A, Sahoo B, Chatterjee C (2023) Two novel error-updating model frameworks for short-to-medium range streamflow forecasting using bias-corrected rainfall inputs: development and comparative assessment. J of Hydrol 618:129199CrossRef
Zurück zum Zitat Kim S, Zhang R, Pham H, Sharma A (2019) A review of satellite-derived soil moisture and its usage for flood estimation. Remote Sens Earth Syst Sci 2:225–246CrossRef Kim S, Zhang R, Pham H, Sharma A (2019) A review of satellite-derived soil moisture and its usage for flood estimation. Remote Sens Earth Syst Sci 2:225–246CrossRef
Zurück zum Zitat Kobayashi S, Ota Y, Harada Y, Ebita A, Moriya M, Onoda H et al (2015) The JRA-55 reanalysis: general specifications and basic characteristics. J Meteorol Soc Japan Ser. II 93(1):5–48CrossRef Kobayashi S, Ota Y, Harada Y, Ebita A, Moriya M, Onoda H et al (2015) The JRA-55 reanalysis: general specifications and basic characteristics. J Meteorol Soc Japan Ser. II 93(1):5–48CrossRef
Zurück zum Zitat Kobayashi T, Tateishi R, Alsaaideh B, Sharma RC, Wakaizumi T, Miyamoto D et al (2017) Production of global land cover data–GLCNMO2013. J Geol Geogr Geoecology 9(3):1–15CrossRef Kobayashi T, Tateishi R, Alsaaideh B, Sharma RC, Wakaizumi T, Miyamoto D et al (2017) Production of global land cover data–GLCNMO2013. J Geol Geogr Geoecology 9(3):1–15CrossRef
Zurück zum Zitat Kumar KN, Rajeevan M, Pai DS, Srivastava AK, Preethi B (2013) On the observed variability of monsoon droughts over India. Weather Clim Extrem 1:42–50CrossRef Kumar KN, Rajeevan M, Pai DS, Srivastava AK, Preethi B (2013) On the observed variability of monsoon droughts over India. Weather Clim Extrem 1:42–50CrossRef
Zurück zum Zitat Latham J, Cumani R, Rosati I, Bloise M (2014) Global land cover SHARE (GLC-SHARE) database beta-release version 1.0 Latham J, Cumani R, Rosati I, Bloise M (2014) Global land cover SHARE (GLC-SHARE) database beta-release version 1.0
Zurück zum Zitat Liu H, Gong P, Wang J, Clinton N, Bai Y, Liang S (2020) Annual dynamics of global land cover and its long-term changes from 1982 to 2015. Earth Syst Sci Data 12(2):1217–1243CrossRef Liu H, Gong P, Wang J, Clinton N, Bai Y, Liang S (2020) Annual dynamics of global land cover and its long-term changes from 1982 to 2015. Earth Syst Sci Data 12(2):1217–1243CrossRef
Zurück zum Zitat Matthews E (1983) Global vegetation and land use: new high-resolution databases for climate studies. J Clim Appl Meteorol 22:474–487CrossRef Matthews E (1983) Global vegetation and land use: new high-resolution databases for climate studies. J Clim Appl Meteorol 22:474–487CrossRef
Zurück zum Zitat Mishra SK, Jain S, Salunke P, Sahany S (2019) Past and future climate change over the Himalaya-Tibetan Highland: inferences from APHRODITE and NEX-GDDP data. Clim Change 156:315–322CrossRef Mishra SK, Jain S, Salunke P, Sahany S (2019) Past and future climate change over the Himalaya-Tibetan Highland: inferences from APHRODITE and NEX-GDDP data. Clim Change 156:315–322CrossRef
Zurück zum Zitat Muñoz-Sabater J, Dutra E, Agustí-Panareda A, Albergel C, Arduini G, Balsamo G et al (2021) ERA5-Land: a state-of-the-art global reanalysis dataset for land applications. Earth Syst Sci Data 13(9):4349–4383 Muñoz-Sabater J, Dutra E, Agustí-Panareda A, Albergel C, Arduini G, Balsamo G et al (2021) ERA5-Land: a state-of-the-art global reanalysis dataset for land applications. Earth Syst Sci Data 13(9):4349–4383
Zurück zum Zitat Musie M, Sen S, Srivastava P (2020) Application of CORDEX-AFRICA and NEX-GDDP datasets for hydrologic projections under climate change in Lake Ziway sub-basin, Ethiopia. J Hydrol Reg Stud 31:100721CrossRef Musie M, Sen S, Srivastava P (2020) Application of CORDEX-AFRICA and NEX-GDDP datasets for hydrologic projections under climate change in Lake Ziway sub-basin, Ethiopia. J Hydrol Reg Stud 31:100721CrossRef
Zurück zum Zitat Pai DS, Rajeevan M, Sreejith OP, Mukhopadhyay B, Satbha NS (2014) 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. Mausam 65(1):1–18 Pai DS, Rajeevan M, Sreejith OP, Mukhopadhyay B, Satbha NS (2014) 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. Mausam 65(1):1–18
Zurück zum Zitat Rani SI, Arulalan T, George JP, Rajagopal EN, Renshaw R, Maycock A et al (2021) IMDAA: High-resolution satellite-era reanalysis for the Indian monsoon region. J Clim 34(12):5109–5133 Rani SI, Arulalan T, George JP, Rajagopal EN, Renshaw R, Maycock A et al (2021) IMDAA: High-resolution satellite-era reanalysis for the Indian monsoon region. J Clim 34(12):5109–5133
Zurück zum Zitat Roy PS, Meiyappan P, Joshi PK, Kale MP, Srivastav VK, Srivastava SK, et al. (2016) Decadal land use and land cover classifications across India, 1985, 1995, 2005. ORNL DAAC Roy PS, Meiyappan P, Joshi PK, Kale MP, Srivastav VK, Srivastava SK, et al. (2016) Decadal land use and land cover classifications across India, 1985, 1995, 2005. ORNL DAAC
Zurück zum Zitat Saha S, Moorthi S, Pan HL, Wu X, Wang J, Nadiga S et al (2010) The NCEP climate forecast system reanalysis. Bull Am Meteorol Soc 91(8):1015–1058CrossRef Saha S, Moorthi S, Pan HL, Wu X, Wang J, Nadiga S et al (2010) The NCEP climate forecast system reanalysis. Bull Am Meteorol Soc 91(8):1015–1058CrossRef
Zurück zum Zitat Schultz M, Voss J, Auer M, Carter S, Zipf A (2017) Open land cover from OpenStreetMap and remote sensing. Int J Appl Earth Obs Geoinf 63:206–213 Schultz M, Voss J, Auer M, Carter S, Zipf A (2017) Open land cover from OpenStreetMap and remote sensing. Int J Appl Earth Obs Geoinf 63:206–213
Zurück zum Zitat See L, Schepaschenko D, Lesiv M, McCallum I, Fritz S, Comber A et al (2015) Building a hybrid land cover map with crowdsourcing and geographically weighted regression. ISPRS J Photogramm Remote Sens 103:48–56CrossRef See L, Schepaschenko D, Lesiv M, McCallum I, Fritz S, Comber A et al (2015) Building a hybrid land cover map with crowdsourcing and geographically weighted regression. ISPRS J Photogramm Remote Sens 103:48–56CrossRef
Zurück zum Zitat Setti S, Maheswaran R, Radha D, Sridhar V, Barik KK, Narasimham ML (2020) Attribution of hydrologic changes in a tropical river basin to rainfall variability and land-use change: case study from India. J Hydrol Engg 25(8):05020015CrossRef Setti S, Maheswaran R, Radha D, Sridhar V, Barik KK, Narasimham ML (2020) Attribution of hydrologic changes in a tropical river basin to rainfall variability and land-use change: case study from India. J Hydrol Engg 25(8):05020015CrossRef
Zurück zum Zitat Sharma A, Sharma D, Panda SK (2022) Assessment of spatiotemporal trend of precipitation indices and meteorological drought characteristics in the Mahi River basin, India. J Hydrol 605:127314CrossRef Sharma A, Sharma D, Panda SK (2022) Assessment of spatiotemporal trend of precipitation indices and meteorological drought characteristics in the Mahi River basin, India. J Hydrol 605:127314CrossRef
Zurück zum Zitat Singh G, Das NN (2022) A data-driven approach using the remotely sensed soil moisture product to identify water-demand in agricultural regions. Sci Total Environ 837:155893CrossRef Singh G, Das NN (2022) A data-driven approach using the remotely sensed soil moisture product to identify water-demand in agricultural regions. Sci Total Environ 837:155893CrossRef
Zurück zum Zitat Smitha PS, Narasimhan B, Sudheer KP, Annamalai H (2018) An improved bias correction method of daily rainfall data using a sliding window technique for climate change impact assessment. J Hydrol 556:100–118CrossRef Smitha PS, Narasimhan B, Sudheer KP, Annamalai H (2018) An improved bias correction method of daily rainfall data using a sliding window technique for climate change impact assessment. J Hydrol 556:100–118CrossRef
Zurück zum Zitat Sorooshian S, Hsu KL, Gao X, Gupta HV, Imam B, Braithwaite D (2000) Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bull Am Meteorol Soc 81(9):2035–2046CrossRef Sorooshian S, Hsu KL, Gao X, Gupta HV, Imam B, Braithwaite D (2000) Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bull Am Meteorol Soc 81(9):2035–2046CrossRef
Zurück zum Zitat Srivastava AK, Rajeevan M, Kshirsagar SR (2009) Development of a high resolution daily gridded temperature data set (1969–2005) for the Indian region. Atmos Sci Lett 10(4):249–254CrossRef Srivastava AK, Rajeevan M, Kshirsagar SR (2009) Development of a high resolution daily gridded temperature data set (1969–2005) for the Indian region. Atmos Sci Lett 10(4):249–254CrossRef
Zurück zum Zitat Swain SS, Mishra A, Chatterjee C, Sahoo B (2021) Climate-changed versus land-use altered streamflow: a relative contribution assessment using three complementary approaches at a decadal time-spell. J Hydrol 596:126064CrossRef Swain SS, Mishra A, Chatterjee C, Sahoo B (2021) Climate-changed versus land-use altered streamflow: a relative contribution assessment using three complementary approaches at a decadal time-spell. J Hydrol 596:126064CrossRef
Zurück zum Zitat Thrasher B, Wang W, Michaelis A, Melton F, Lee T, Nemani R (2022) NASA global daily downscaled projections, CMIP6. Sci Data 9(1):262CrossRef Thrasher B, Wang W, Michaelis A, Melton F, Lee T, Nemani R (2022) NASA global daily downscaled projections, CMIP6. Sci Data 9(1):262CrossRef
Zurück zum Zitat Ushio T, Sasashige K, Kubota T, Shige S, Okamoto K, Aonashi K et al (2009) A Kalman Filter approach to the global satellite mapping of precipitation (GSMaP) from Combined passive microwave and infrared radiometric data. J Meteorol Soc Japan 87A:137–151CrossRef Ushio T, Sasashige K, Kubota T, Shige S, Okamoto K, Aonashi K et al (2009) A Kalman Filter approach to the global satellite mapping of precipitation (GSMaP) from Combined passive microwave and infrared radiometric data. J Meteorol Soc Japan 87A:137–151CrossRef
Zurück zum Zitat Wang J, Zhao Y, Li C, Yu L, Liu D, Gong P (2015) Mapping global land cover in 2001 and 2010 with spatial-temporal consistency at 250 m resolution. ISPRS J Photogramm Remote Sens 103:38–47CrossRef Wang J, Zhao Y, Li C, Yu L, Liu D, Gong P (2015) Mapping global land cover in 2001 and 2010 with spatial-temporal consistency at 250 m resolution. ISPRS J Photogramm Remote Sens 103:38–47CrossRef
Zurück zum Zitat Xie P, Arkin PA (1997) Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull Am Meteorol Soc 78:2539–2558CrossRef Xie P, Arkin PA (1997) Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull Am Meteorol Soc 78:2539–2558CrossRef
Zurück zum Zitat Xie P, Chen M, Shi W (2010) CPC global unified gauge-based analysis of daily precipitation. In: Preprints, 24th Conference on Hydrology, Atlanta, GA, Amer Meteor Soc 2 Xie P, Chen M, Shi W (2010) CPC global unified gauge-based analysis of daily precipitation. In: Preprints, 24th Conference on Hydrology, Atlanta, GA, Amer Meteor Soc 2
Zurück zum Zitat Xie PP, Janowiak JE, Arkin PA, Adler R, Gruber A, Ferraro R et al (2003) GPCP Pentad precipitation analyses: an experimental dataset based on gauge observations and satellite estimates. J Clim 16(13):2197–2214CrossRef Xie PP, Janowiak JE, Arkin PA, Adler R, Gruber A, Ferraro R et al (2003) GPCP Pentad precipitation analyses: an experimental dataset based on gauge observations and satellite estimates. J Clim 16(13):2197–2214CrossRef
Metadaten
Titel
Data Availability and Aquisition
verfasst von
Vijay P. Singh
Rajendra Singh
Pranesh Kumar Paul
Deepak Singh Bisht
Srishti Gaur
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-1316-5_2

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.