{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T15:33:48Z","timestamp":1766504028153,"version":"build-2065373602"},"reference-count":78,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,3,24]],"date-time":"2023-03-24T00:00:00Z","timestamp":1679616000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Sea surface temperature (SST) substantially influences the land climate conditions through the co-variability of multiple climate variables, which in turn affect the structural and functional characteristics of terrestrial vegetation. Our study explored the varying responses of vegetation photosynthesis in India to the SST variations in the tropical Indian Ocean during the summer monsoon. To characterise the terrestrial photosynthetic activity, we used solar-induced chlorophyll fluorescence (SIF). Our results demonstrated a significant negative SST-SIF relationship during the onset phase of the summer monsoon: the SIF anomalies in the northern and central Indian regions decrease when strong warm SST anomalies persist in the tropical Indian Ocean. Further, SIF anomalies increase with cold anomalies of SST. However, the negative SST anomalies in the tropical Indian Ocean are less impactful on SIF anomalies relative to the positive SST anomalies. The observed statistically significant SST\u2013SIF link is feasible through atmospheric teleconnections. During monsoon onset, positive SST anomalies in the tropical Indian Ocean favour weakened monsoon flow, decreasing moisture transport from the ocean to the Indian mainland. The resultant water deficiency, along with the high air temperature, created a stress condition and reduced the photosynthetic rate, thus demonstrating negative SIF anomalies across India. Conversely, negative SST anomalies strengthened monsoon winds in the onset period and increased moisture availability across India. Negative air temperature anomalies also dampen water stress conditions and increased photosynthetic activity, resulting in positive SIF anomalies. The identified SST-SIF relationship would be beneficial to generate a simple framework that aids in the detection of the probable impact on vegetation growth across India associated with the rapidly varying climate conditions in the Indian Ocean.<\/jats:p>","DOI":"10.3390\/rs15071756","type":"journal-article","created":{"date-parts":[[2023,3,24]],"date-time":"2023-03-24T09:26:21Z","timestamp":1679649981000},"page":"1756","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Significant Inverse Influence of Tropical Indian Ocean SST on SIF of Indian Vegetation during the Summer Monsoon Onset Phase"],"prefix":"10.3390","volume":"15","author":[{"given":"Roma","family":"Varghese","sequence":"first","affiliation":[{"name":"Centre for Ocean, River, Atmosphere and Land Sciences, Indian Institute of Technology Kharagpur, Kharagpur 721302, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8692-2388","authenticated-orcid":false,"given":"Swadhin K.","family":"Behera","sequence":"additional","affiliation":[{"name":"Applications Laboratory, Japan Agency for Marine-Earth Science and Technology, Yokohama 236-0001, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9976-6270","authenticated-orcid":false,"given":"Mukunda Dev","family":"Behera","sequence":"additional","affiliation":[{"name":"Centre for Ocean, River, Atmosphere and Land Sciences, Indian Institute of Technology Kharagpur, Kharagpur 721302, India"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3414","DOI":"10.1111\/gcb.13258","article-title":"Global Vegetation Productivity Response to Climatic Oscillations during the Satellite Era","volume":"22","author":"Gonsamo","year":"2016","journal-title":"Glob. Change Biol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"420","DOI":"10.3389\/fmars.2019.00420","article-title":"Observational Needs of Sea Surface Temperature","volume":"6","author":"Armstrong","year":"2019","journal-title":"Front. Mar. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1677","DOI":"10.5194\/os-17-1677-2021","article-title":"Progress in Understanding of Indian Ocean Circulation, Variability, Air-Sea Exchange, and Impacts on Biogeochemistry","volume":"17","author":"Phillips","year":"2021","journal-title":"Ocean Sci."},{"unstructured":"(2021, January 23). Ocean Health Index Sea Surface Temperature. Available online: https:\/\/oceanhealthindex.org\/.","key":"ref_4"},{"doi-asserted-by":"crossref","unstructured":"Reimer, J.J., Vargas, R., Rivas, D., Gaxiola-Castro, G., Hernandez-Ayon, J.M., and Lara-Lara, R. (2015). Sea Surface Temperature Influence on Terrestrial Gross Primary Production along the Southern California Current. PLoS ONE, 10.","key":"ref_5","DOI":"10.1371\/journal.pone.0125177"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"e02069","DOI":"10.1002\/ecs2.2069","article-title":"The Signature of Sea Surface Temperature Anomalies on the Dynamics of Semiarid Grassland Productivity","volume":"8","author":"Chen","year":"2017","journal-title":"Ecosphere"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3209","DOI":"10.1002\/2016GL071743","article-title":"The Effects of Teleconnections on Carbon Fluxes of Global Terrestrial Ecosystems","volume":"44","author":"Zhu","year":"2017","journal-title":"Geophys. Res. Lett."},{"doi-asserted-by":"crossref","unstructured":"Nzabarinda, V., Bao, A., Xu, W., Uwamahoro, S., Jiang, L., Duan, Y., Nahayo, L., Yu, T., Wang, T., and Long, G. (2021). Assessment and Evaluation of the Response of Vegetation Dynamics to Climate Variability in Africa. Sustainability, 13.","key":"ref_8","DOI":"10.3390\/su13031234"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2020EF001942","article-title":"Modulation of Land Photosynthesis by the Indian Ocean Dipole: Satellite-Based Observations and CMIP6 Future Projections","volume":"9","author":"Wang","year":"2021","journal-title":"Earth\u2019s Future"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"10462","DOI":"10.1038\/s41598-021-89824-x","article-title":"Tropical Indo-Pacific SST Influences on Vegetation Variability in Eastern Africa","volume":"11","author":"Kim","year":"2021","journal-title":"Sci. Rep."},{"doi-asserted-by":"crossref","unstructured":"Frankenberg, C., and Berry, J. (2017). Solar Induced Chlorophyll Fluorescence: Origins, Relation to Photosynthesis and Retrieval, Elsevier.","key":"ref_11","DOI":"10.1016\/B978-0-12-409548-9.10632-3"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2020GL087474","article-title":"From the Ground to Space: Using Solar-Induced Chlorophyll Fluorescence to Estimate Crop Productivity","volume":"47","author":"He","year":"2020","journal-title":"Geophys. Res. Lett."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3990","DOI":"10.1111\/gcb.14297","article-title":"Solar-Induced Chlorophyll Fluorescence is Strongly Correlated with Terrestrial Photosynthesis for a Wide Variety of Biomes: First Global Analysis Based on OCO-2 and Flux Tower Observations","volume":"24","author":"Li","year":"2018","journal-title":"Glob. Change Biol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"112609","DOI":"10.1016\/j.rse.2021.112609","article-title":"Downscaling of Far-Red Solar-Induced Chlorophyll Fluorescence of Different Crops from Canopy to Leaf Level Using a Diurnal Data Set Acquired by the Airborne Imaging Spectrometer HyPlant","volume":"264","author":"Siegmann","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"112555","DOI":"10.1016\/j.rse.2021.112555","article-title":"Structural and Photosynthetic Dynamics Mediate the Response of SIF to Water Stress in a Potato Crop","volume":"263","author":"Xu","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"e02101","DOI":"10.1002\/eap.2101","article-title":"Solar-Induced Chlorophyll Fluorescence and Short-Term Photosynthetic Response to Drought","volume":"30","author":"Helm","year":"2020","journal-title":"Ecol. Appl."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/s40725-019-00096-1","article-title":"Early Diagnosis of Vegetation Health from High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned from Empirical Relationships and Radiative Transfer Modelling","volume":"5","author":"Hornero","year":"2019","journal-title":"Curr. For. Rep."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"4065","DOI":"10.1093\/jxb\/eru191","article-title":"Linking Chlorophyll a Fluorescence to Photosynthesis for Remote Sensing Applications: Mechanisms and Challenges","volume":"65","author":"Atherton","year":"2014","journal-title":"J. Exp. Bot."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"111274","DOI":"10.1016\/j.rse.2019.111274","article-title":"Simulating Solar-Induced Chlorophyll Fluorescence in a Boreal Forest Stand Reconstructed from Terrestrial Laser Scanning Measurements","volume":"232","author":"Liu","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.rse.2016.05.015","article-title":"Consistency between Sun-Induced Chlorophyll Fluorescence and Gross Primary Production of Vegetation in North America","volume":"183","author":"Zhang","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"5779","DOI":"10.5194\/bg-15-5779-2018","article-title":"A Global Spatially Contiguous Solar-Induced Fluorescence (CSIF) Dataset Using Neural Networks","volume":"15","author":"Zhang","year":"2018","journal-title":"Biogeosciences"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"108801","DOI":"10.1016\/j.ecolind.2022.108801","article-title":"Downscaled Solar-Induced Chlorophyll Fluorescence Has Great Potential for Monitoring the Response of Vegetation to Drought in the Yellow River Basin, China: Insights from an Extreme Event","volume":"138","author":"Geng","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_23","first-page":"102126","article-title":"Assessing the Benefit of Satellite-Based Solar-Induced Chlorophyll Fluorescence in Crop Yield Prediction","volume":"90","author":"Peng","year":"2020","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"doi-asserted-by":"crossref","unstructured":"Hong, Z., Hu, Y., Cui, C., Yang, X., Tao, C., Luo, W., Zhang, W., Li, L., and Meng, L. (2022). An Operational Downscaling Method of Solar-Induced Chlorophyll Fluorescence (SIF) for Regional Drought Monitoring. Agriculture, 12.","key":"ref_24","DOI":"10.3390\/agriculture12040547"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2141","DOI":"10.1175\/JCLI-D-15-0567.1","article-title":"Variability of Soil Moisture and Sea Surface Temperatures Similarly Important for Warm-Season Land Climate in the Community Earth System Model","volume":"30","author":"Orth","year":"2017","journal-title":"J. Clim."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"31003","DOI":"10.1088\/2515-7620\/ab178a","article-title":"Predictability of Tropical Vegetation Greenness Using Sea Surface Temperatures","volume":"1","author":"Yan","year":"2019","journal-title":"Environ. Res. Commun."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1016\/j.scitotenv.2018.11.170","article-title":"Global Vegetation Productivity Responses to the West Pacific Warm Pool","volume":"655","author":"Huang","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2149479","DOI":"10.1155\/2017\/2149479","article-title":"Response of South American Terrestrial Ecosystems to Future Patterns of Sea Surface Temperature","volume":"2017","author":"Pereira","year":"2017","journal-title":"Adv. Meteorol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.1007\/s00376-021-1226-4","article-title":"Ocean\u2014Atmosphere Teleconnections Play a Key Role in the Interannual Variability of Seasonal Gross Primary Production in China","volume":"39","author":"Ying","year":"2022","journal-title":"Adv. Atmos. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3276","DOI":"10.1016\/j.rse.2011.07.011","article-title":"Analysis of Teleconnections between AVHRR-Based Sea Surface Temperature and Vegetation Productivity in the Semi-Arid Sahel","volume":"115","author":"Huber","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1016\/j.rse.2004.01.003","article-title":"Interannual Variability of Vegetation over the Indian Sub-Continent and Its Relation to the Different Meteorological Parameters","volume":"90","author":"Sarkar","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"125","DOI":"10.5194\/isprsarchives-XXXVIII-8-W20-125-2011","article-title":"Inter-Annual Variability of Net Ecosystem Productivity over India","volume":"XXXVIII-8\/W20","author":"Nayak","year":"2012","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1002\/jgrg.20037","article-title":"Intraseasonal Variability of Terrestrial Biospheric CO2 Fluxes over India during Summer Monsoons","volume":"118","author":"Valsala","year":"2013","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.gloplacha.2019.05.001","article-title":"On the Relationship between North India Summer Monsoon Rainfall and East Equatorial Indian Ocean Warming","volume":"179","author":"Yadav","year":"2019","journal-title":"Glob. Planet. Change"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"5290","DOI":"10.1002\/2015GL063991","article-title":"Prediction of Vegetation Anomalies to Improve Food Security and Water Management in India","volume":"42","author":"Asoka","year":"2015","journal-title":"Geophys. Res. Lett."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"e432","DOI":"10.1111\/gcb.13874","article-title":"Assessment of Ecosystem Resilience to Hydroclimatic Disturbances in India","volume":"24","author":"Sharma","year":"2018","journal-title":"Glob. Chang. Biol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1002\/joc.3414","article-title":"Inter-Annual Variability and Climate Control of Terrestrial Net Primary Productivity over India","volume":"33","author":"Nayak","year":"2013","journal-title":"Int. J. Climatol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1007\/s10584-015-1448-5","article-title":"Terrestrial Net Primary Productivity in India during 1901\u20132010: Contributions from Multiple Environmental Changes","volume":"132","author":"Banger","year":"2015","journal-title":"Clim. Change"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1743","DOI":"10.1007\/s12665-015-4182-4","article-title":"Spatio-Temporal Variability of Net Ecosystem Productivity over India and Its Relationship to Climatic Variables","volume":"74","author":"Nayak","year":"2015","journal-title":"Environ. Earth Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"810","DOI":"10.3390\/rs5020810","article-title":"Remote Sensing Trends and Variability of AVHRR-Derived NPP in India","volume":"5","author":"Bala","year":"1982","journal-title":"Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/s12040-019-1120-y","article-title":"Multi-Model Assessment of Trends, Variability and Drivers of Terrestrial Carbon Uptake in India","volume":"128","author":"Rao","year":"2019","journal-title":"J. Earth Syst. Sci."},{"key":"ref_42","first-page":"151","article-title":"The Impact of El Nino and La Nina (ENSO) on Monsoon Rainfall in Gujarat Department of Agricultural Meteorology","volume":"14","author":"Kumar","year":"2012","journal-title":"J. Agrometeorol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1007\/s42452-019-1934-x","article-title":"The Effect of Indian Summer Monsoon on the Seasonal Variation of Carbon Sequestration by a Forest Ecosystem over North-East India","volume":"2","author":"Sarma","year":"2020","journal-title":"SN Appl. Sci."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1007\/s00382-013-1881-y","article-title":"Sensitivity of Precipitation to Sea Surface Temperature over the Tropical Summer Monsoon Region and Its Quantification","volume":"43","author":"Roxy","year":"2014","journal-title":"Clim. Dyn."},{"doi-asserted-by":"crossref","unstructured":"Ahmad, L., Habib Kanth, R., Parvaze, S., and Sheraz Mahdi, S. (2017). Experimental Agrometeorology: A Practical Manual, Springer International Publishing.","key":"ref_45","DOI":"10.1007\/978-3-319-69185-5"},{"doi-asserted-by":"crossref","unstructured":"Qiu, R., Han, G., Ma, X., Xu, H., Shi, T., and Zhang, M. (2020). A Comparison of OCO-2 SIF, MODIS GPP, and GOSIF Data from Gross Primary Production (GPP) Estimation and Seasonal Cycles in North America. Remote Sens., 12.","key":"ref_46","DOI":"10.3390\/rs12020258"},{"doi-asserted-by":"crossref","unstructured":"Li, X., and Xiao, J. (2019). Mapping Photosynthesis Solely from Solar-Induced Chlorophyll Fluorescence: A Global, Fine-Resolution Dataset of Gross Primary Production Derived from OCO-2. Remote Sens., 11.","key":"ref_47","DOI":"10.3390\/rs11212563"},{"doi-asserted-by":"crossref","unstructured":"Li, X., and Xiao, J. (2019). A global, 0.05-Degree Product of Solar-Induced Chlorophyll Fluorescence Derived from OCO-2, MODIS, and Reanalysis Data. Remote Sens., 11.","key":"ref_48","DOI":"10.3390\/rs11050517"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"e4","DOI":"10.1111\/gcb.14565","article-title":"Solar-Induced Chlorophyll Fluorescence Exhibits a Universal Relationship with Gross Primary Productivity across a Wide Variety of Biomes","volume":"25","author":"Xiao","year":"2019","journal-title":"Glob. Chang. Biol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"12618","DOI":"10.1080\/10106049.2022.2071469","article-title":"Vegetation Activity Enhanced in India during the COVID-19 Lockdowns: Evidence from Satellite Data","volume":"37","author":"Ranjan","year":"2022","journal-title":"Geocarto Int."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1007\/s42965-020-00074-w","article-title":"Elucidating Space Based Observations of Solar Induced Chlorophyll Fluorescence over Terrestrial Vegetation of India","volume":"61","author":"Chhabra","year":"2020","journal-title":"Trop. Ecol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2923","DOI":"10.1175\/JCLI-D-20-0166.1","article-title":"Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1","volume":"34","author":"Huang","year":"2021","journal-title":"J. Clim."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"5473","DOI":"10.1175\/2007JCLI1824.1","article-title":"Daily High-Resolution-Blended Analyses for Sea Surface Temperature","volume":"20","author":"Reynolds","year":"2007","journal-title":"J. Clim."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"165","DOI":"10.5194\/essd-8-165-2016","article-title":"A Long-Term Record of Blended Satellite and in Situ Sea-Surface Temperature for Climate Monitoring, Modeling and Environmental Studies","volume":"8","author":"Banzon","year":"2016","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"4407","DOI":"10.1029\/2002JD002670","article-title":"Global Analyses of Sea Surface Temperature, Sea Ice, and Night Marine Air Temperature since the Late Nineteenth Century","volume":"108","author":"Rayner","year":"2003","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"151","DOI":"10.3354\/cr025151","article-title":"Possible Impacts of Indian Ocean Dipole Mode Events on Global Climate","volume":"25","author":"Saji","year":"2003","journal-title":"Clim. Res."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"5419","DOI":"10.1175\/JCLI-D-16-0758.1","article-title":"The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)","volume":"30","author":"Gelaro","year":"2017","journal-title":"J. Clim."},{"unstructured":"GES-DISC (2018). Amy McNally NASA\/GSFC\/HSL (2018) FLDAS Noah Land Surface Model L4 Global Monthly 0.1 \u00d7 0.1 Degree (MERRA-2 and CHIRPS) (Version 001) [Dataset].","key":"ref_58"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1","DOI":"10.54302\/mausam.v65i1.851","article-title":"Development of a New High Spatial Resolution (0.25\u00b0 \u00d7 0.25\u00b0) Long Period (1901\u20132010) Daily Gridded Rainfall Data Set over India and Its Comparison with Existing Data Sets over the Region","volume":"65","author":"Pai","year":"2014","journal-title":"Mausam"},{"key":"ref_60","first-page":"1","article-title":"Interannual and Long Term Variability of Low Level Jetstream of the Asian Summer Monsoon","volume":"70","author":"Wilson","year":"2018","journal-title":"Tellus A Dyn. Meteorol. Oceanogr."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/s41612-022-00244-8","article-title":"Arabian Sea Aerosol-Indian Summer Monsoon Rainfall Relationship and Its Modulation by El-Nino Southern Oscillation","volume":"5","author":"Nandini","year":"2022","journal-title":"NPJ Clim. Atmos. Sci."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1002\/qj.3803","article-title":"The ERA5 Global Reanalysis","volume":"146","author":"Hersbach","year":"2020","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1007\/s00382-020-05302-6","article-title":"Near-Surface Mean and Gust Wind Speeds in ERA5 across Sweden: Towards an Improved Gust Parametrization","volume":"55","author":"Minola","year":"2020","journal-title":"Clim. Dyn."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10584-012-0551-0","article-title":"Testing Ensembles of Climate Change Scenarios for \u201cStatistical Significance\u201d","volume":"117","author":"Zwiers","year":"2013","journal-title":"Clim. Change"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1002\/qj.49712555412","article-title":"A Broad-Scale Circulation Index for the Interannual Variability of the Indian Summer Monsoon","volume":"125","author":"Goswami","year":"1999","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1007\/s00703-019-00703-7","article-title":"Intense Rainfall Conditions over Indo-Gangetic Plains under the Influence of Madden\u2013Julian Oscillation","volume":"132","author":"Singh","year":"2020","journal-title":"Meteorol. Atmos. Phys."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1303","DOI":"10.1007\/s00704-022-03978-w","article-title":"The Interannual Variability of Rainfall over Homogeneous Regions of Indian Summer Monsoon","volume":"148","author":"Sahoo","year":"2022","journal-title":"Theor. Appl. Climatol."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1839","DOI":"10.1175\/JCLI-D-16-0156.1","article-title":"Role of Oceanic and Land Moisture Sources and Transport in the Seasonal and Interannual Variability of Summer Monsoon in India","volume":"30","author":"Pathak","year":"2017","journal-title":"J. Clim."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"7423","DOI":"10.1038\/ncomms8423","article-title":"Drying of Indian Subcontinent by Rapid Indian Ocean Warming and a Weakening Land-Sea Thermal Gradient","volume":"6","author":"Roxy","year":"2015","journal-title":"Nat. Commun."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"86","DOI":"10.3389\/fpls.2014.00086","article-title":"Response of Plants to Water Stress","volume":"5","author":"Osakabe","year":"2014","journal-title":"Front. Plant Sci."},{"doi-asserted-by":"crossref","unstructured":"Costa de Oliveira, A., Marini, N., and Farias, D.R. (2014). Climate Change: New Breeding Pressures and Goals, Elsevier Ltd.","key":"ref_71","DOI":"10.1016\/B978-0-444-52512-3.00005-X"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"16511","DOI":"10.1038\/s41598-021-96037-9","article-title":"Impact of Water Stress under Ambient and Elevated Carbon Dioxide across Three Temperature Regimes on Soybean Canopy Gas Exchange and Productivity","volume":"11","author":"Singh","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"14782","DOI":"10.1029\/2019GL085495","article-title":"Variability and Predictability of Indian Rainfall during the Monsoon Onset Month of June","volume":"46","author":"Zhou","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1048","DOI":"10.1016\/j.jhydrol.2018.07.079","article-title":"District-Level Assessment of the Ecohydrological Resilience to Hydroclimatic Disturbances and Its Controlling Factors in India","volume":"564","author":"Sharma","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.ecoinf.2015.12.003","article-title":"Effects of Altered Precipitation Regimes on Plant Productivity in the Arid Region of Northern China","volume":"31","author":"Xu","year":"2016","journal-title":"Ecol. Inform."},{"doi-asserted-by":"crossref","unstructured":"Zhu, Y., Luo, P., Zhang, S., and Sun, B. (2020). Spatiotemporal Analysis of Hydrological Variations and Their Impacts on Vegetation in Semiarid Areas from Multiple Satellite Data. Remote Sens., 12.","key":"ref_76","DOI":"10.3390\/rs12244177"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1186\/s40663-020-00229-0","article-title":"Variation of Net Primary Productivity and Its Drivers in China\u2019s Forests during 2000\u20132018","volume":"7","author":"Ji","year":"2020","journal-title":"For. Ecosyst."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"12729","DOI":"10.1038\/s41598-017-13115-7","article-title":"Role of Oceanic and Terrestrial Atmospheric Moisture Sources in Intraseasonal Variability of Indian Summer Monsoon Rainfall","volume":"7","author":"Pathak","year":"2017","journal-title":"Sci. Rep."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/7\/1756\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:02:33Z","timestamp":1760122953000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/7\/1756"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,24]]},"references-count":78,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2023,4]]}},"alternative-id":["rs15071756"],"URL":"https:\/\/doi.org\/10.3390\/rs15071756","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2023,3,24]]}}}