23.2.12 Climate Data

Chapter Contents (Back)
Climate. Climate Change.
See also Climate Zones. Climate Change image analysis:
See also Land Cover Change Analysis, Seasonal, Annual Variations, Climate Change, Analysis.
See also Land Cover Change Analysis, Global Changes, Global Analysis.
See also Sustainable Development, Goals, Techniques, SDG.
See also Net Radiation, Surface Shortwave Net Radiation, Outgoing Shortwave, Radiation Budget.
See also Land Degradation.

Berg, W.K., Sapiano, M.R.P., Horsman, J., Kummerow, C.D.,
Improved Geolocation and Earth Incidence Angle Information for a Fundamental Climate Data Record of the SSM/I Sensors,
GeoRS(51), No. 3, March 2013, pp. 1504-1513.
IEEE DOI 1303
BibRef

Sapiano, M.R.P., Berg, W.K., McKague, D.S., Kummerow, C.D.,
Toward an Intercalibrated Fundamental Climate Data Record of the SSM/I Sensors,
GeoRS(51), No. 3, March 2013, pp. 1492-1503.
IEEE DOI 1303
BibRef

Duguay-Tetzlaff, A.[Anke], Bento, V.A.[Virgílio A.], Göttsche, F.M.[Frank M.], Stöckli, R.[Reto], Martins, J.P.A.[Joăo P. A.], Trigo, I.[Isabel], Olesen, F.[Folke], Bojanowski, J.S.[Jedrzej S.], da Camara, C.[Carlos], Kunz, H.[Heike],
Meteosat Land Surface Temperature Climate Data Record: Achievable Accuracy and Potential Uncertainties,
RS(7), No. 10, 2015, pp. 13139.
DOI Link 1511
BibRef

Key, J.[Jeffrey], Wang, X.[Xuanji], Liu, Y.H.[Ying-Hui], Dworak, R.[Richard], Letterly, A.[Aaron],
The AVHRR Polar Pathfinder Climate Data Records,
RS(8), No. 3, 2016, pp. 167.
DOI Link 1604
BibRef

Yang, W.Z.[Wen-Ze], John, V.O.[Viju O.], Zhao, X.P.[Xue-Peng], Lu, H.[Hui], Knapp, K.R.[Kenneth R.],
Satellite Climate Data Records: Development, Applications, and Societal Benefits,
RS(8), No. 4, 2016, pp. 331.
DOI Link 1604
BibRef

Berg, W.[Wesley], Kroodsma, R.[Rachael], Kummerow, C.D.[Christian D.], McKague, D.S.[Darren S.],
Fundamental Climate Data Records of Microwave Brightness Temperatures,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Ferraro, R.R.[Ralph R.], Nelson, B.R.[Brian R.], Smith, T.[Tom], Prat, O.P.[Olivier P.],
The AMSU-Based Hydrological Bundle Climate Data Record: Description and Comparison with Other Data Sets,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Wang, F.[Feng], Li, W.W.[Wen-Wen], Wang, S.Z.[Si-Zhe], Johnson, C.R.[Chris R.],
Association Rules-Based Multivariate Analysis and Visualization of Spatiotemporal Climate Data,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Franch, B.[Belen], Vermote, E.F.[Eric F.], Roger, J.C.[Jean-Claude], Murphy, E.[Emilie], Becker-Reshef, I.[Inbal], Justice, C.[Chris], Claverie, M.[Martin], Nagol, J.[Jyoteshwar], Csiszar, I.[Ivan], Meyer, D.[Dave], Baret, F.[Frederic], Masuoka, E.[Edward], Wolfe, R.[Robert], Devadiga, S.[Sadashiva],
A 30+ Year AVHRR Land Surface Reflectance Climate Data Record and Its Application to Wheat Yield Monitoring,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Govaerts, Y.M.[Yves M.], Rüthrich, F.[Frank], John, V.O.[Viju O.], Quast, R.[Ralf],
Climate Data Records from Meteosat First Generation Part I: Simulation of Accurate Top-of-Atmosphere Spectral Radiance over Pseudo-Invariant Calibration Sites for the Retrieval of the In-Flight Visible Spectral Response,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Quast, R.[Ralf], Giering, R.[Ralf], Govaerts, Y.M.[Yves M.], Rüthrich, F.[Frank], Roebeling, R.[Rob],
Climate Data Records from Meteosat First Generation Part II: Retrieval of the In-Flight Visible Spectral Response,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Rüthrich, F.[Frank], John, V.O.[Viju O.], Roebeling, R.A.[Rob A.], Quast, R.[Ralf], Govaerts, Y.[Yves], Woolliams, E.R.[Emma R.], Schulz, J.[Jörg],
Climate Data Records from Meteosat First Generation Part III: Recalibration and Uncertainty Tracing of the Visible Channel on Meteosat-2-7 Using Reconstructed, Spectrally Changing Response Functions,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Zeng, Y.J.[Yi-Jian], Su, Z.[Zhongbo], Barmpadimos, I.[Iakovos], Perrels, A.[Adriaan], Poli, P.[Paul], Boersma, K.F.[K. Folkert], Frey, A.[Anna], Ma, X.G.[Xiao-Gang], de Bruin, K.[Karianne], Goosen, H.[Hasse], John, V.O.[Viju O.], Roebeling, R.[Rob], Schulz, J.[Jörg], Timmermans, W.[Wim],
Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
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Nightingale, J.[Joanne], Mittaz, J.P.D.[Jonathan P.D.], Douglas, S.[Sarah], Dee, D.[Dick], Ryder, J.[James], Taylor, M.[Michael], Old, C.[Christopher], Dieval, C.[Catherine], Fouron, C.[Celine], Duveau, G.[Guillaume], Merchant, C.[Christopher],
Ten Priority Science Gaps in Assessing Climate Data Record Quality,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Kothe, S.[Steffen], Hollmann, R.[Rainer], Pfeifroth, U.[Uwe], Träger-Chatterjee, C.[Christine], Trentmann, J.[Jörg],
The CM SAF R Toolbox: A Tool for the Easy Usage of Satellite-Based Climate Data in NetCDF Format,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Wu, X.B.[Xiang-Bai], Xu, Q.[Qing], Li, G.[Gen], Liou, Y.A.[Yuei-An], Wang, B.[Bin], Mei, H.[Huan], Tong, K.[Kai],
Remotely-Observed Early Spring Warming in the Southwestern Yellow Sea Due to Weakened Winter Monsoon,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Li, B.[Bo], Huang, F.[Fang], Qin, L.J.[Li-Jie], Qi, H.[Hang], Sun, N.[Ning],
Spatio-Temporal Variations of Carbon Use Efficiency in Natural Terrestrial Ecosystems and the Relationship with Climatic Factors in the Songnen Plain, China,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Bai, W.H.[Wei-Hua], Tan, G.Y.[Guang-Yuan], Sun, Y.Q.[Yue-Qiang], Xia, J.M.[Jun-Ming], Cheng, C.[Cheng], Du, Q.F.[Qi-Fei], Wang, X.Y.[Xian-Yi], Yang, G.L.[Guang-Lin], Liao, M.[Mi], Liu, Y.[Yan], Meng, X.G.[Xiang-Guang], Zhao, D.Y.[Dan-Yang], Liu, C.L.[Cong-Liang], Cai, Y.R.[Yue-Rong], Wang, D.W.[Dong-Wei], Wang, Y.Q.[Ying-Qiang], Yin, C.[Cong], Hu, P.[Peng], Liu, Z.Y.[Zi-Yan],
Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Zampieri, M.[Matteo], Grizzetti, B.[Bruna], Meroni, M.[Michele], Scoccimarro, E.[Enrico], Vrieling, A.[Anton], Naumann, G.[Gustavo], Toreti, A.[Andrea],
Annual Green Water Resources and Vegetation Resilience Indicators: Definitions, Mutual Relationships, and Future Climate Projections,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Gaigalas, J.[Juozas], Di, L.P.[Li-Ping], Sun, Z.H.[Zi-Heng],
Advanced Cyberinfrastructure to Enable Search of Big Climate Datasets in THREDDS,
IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Meftah, M.[Mustapha], Damé, L.[Luc], Keckhut, P.[Philippe], Bekki, S.[Slimane], Sarkissian, A.[Alain], Hauchecorne, A.[Alain], Bertran, E.[Emmanuel], Carta, J.P.[Jean-Paul], Rogers, D.[David], Abbaki, S.[Sadok], Dufour, C.[Christophe], Gilbert, P.[Pierre], Lapauw, L.[Laurent], Vieau, A.J.[André-Jean], Arrateig, X.[Xavier], Muscat, N.[Nicolas], Bove, P.[Philippe], Sandana, É.[Éric], Teherani, F.[Ferechteh], Li, T.[Tong], Pradel, G.[Gilbert], Mahé, M.[Michel], Mercier, C.[Christophe], Paskeviciute, A.[Agne], Segura, K.[Kevin], Alba, A.B.[Alicia Berciano], Aboulila, A.[Ahmed], Chang, L.[Loren], Chandran, A.[Amal], Dahoo, P.R.[Pierre-Richard], Bui, A.[Alain],
UVSQ-SAT, a Pathfinder CubeSat Mission for Observing Essential Climate Variables,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
BibRef

Goffi, A.[Alessia], Bordogna, G.[Gloria], Stroppiana, D.[Daniela], Boschetti, M.[Mirco], Brivio, P.A.[Pietro Alessandro],
Knowledge and Data-Driven Mapping of Environmental Status Indicators from Remote Sensing and VGI,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Peng, F.[Fei], Zhou, H.R.[Hao-Ran], Chen, G.[Gong], Li, Q.[Qi], Wu, Y.X.[Yong-Xing], Liang, H.M.[He-Ming],
New Insights in Regional Climate Change: Coupled Land Albedo Change Estimation in Greenland from 1981 to 2017,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

He, J.[Jiena], Eastman, J.R.[J. Ronald],
A Sequential Autoencoder for Teleconnection Analysis,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
preferred patterns of variability for earth parameters. E.g. ocean temps and various cycles. BibRef

Ferrera-Cobos, F.[Francisco], Vindel, J.M.[Jose M.], Valenzuela, R.X.[Rita X.], González, J.A.[José A.],
Analysis of Spatial and Temporal Variability of the PAR/GHI Ratio and PAR Modeling Based on Two Satellite Estimates,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
photosynthetically active radiation (PAR). global horizontal irradiance (GHI). BibRef

Wu, W.[Wan], Liu, X.[Xu], Yang, Q.G.[Qi-Guang], Zhou, D.K.[Daniel K.], Larar, A.M.[Allen M.],
Radiometrically Consistent Climate Fingerprinting Using CrIS and AIRS Hyperspectral Observations,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Wu, X.J.[Xiao-Jing], Zheng, D.H.[Dong-Hai],
Tri-Clustering Based Exploration of Temporal Resolution Impacts on Spatio-Temporal Clusters in Geo-Referenced Time Series,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
spatial climate data. BibRef

Chetan, M.A.[Marinela-Adriana], Dornik, A.[Andrei], Ardelean, F.[Florina], Georgievski, G.[Goran], Hagemann, S.[Stefan], Romanovsky, V.E.[Vladimir E.], Onaca, A.[Alexandru], Drozdov, D.S.[Dmitry S.],
35 Years of Vegetation and Lake Dynamics in the Pechora Catchment, Russian European Arctic,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Johnson, B.A.[Brian Alan], Ma, L.[Lei],
Image Segmentation and Object-Based Image Analysis for Environmental Monitoring: Recent Areas of Interest, Researchers' Views on the Future Priorities,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Li, D.[Dan], Luo, H.Y.[Hong-Ying], Hu, T.S.[Tie-Song], Shao, D.G.[Dong-Guo], Cui, Y.L.[Yuan-Lai], Khan, S.[Shahbaz], Luo, Y.F.[Yu-Feng],
Identification of the Roles of Climate Factors, Engineering Construction, and Agricultural Practices in Vegetation Dynamics in the Lhasa River Basin, Tibetan Plateau,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Zhou, L.[Lei], Wang, S.[Siyu], Du, M.Y.[Ming-Yi], Yang, J.H.[Jian-Hua], Zhu, Y.[Yinuo], Wu, J.J.[Jian-Jun],
An Integrated Approach for Detection and Prediction of Greening Situation in a Typical Desert Area in China and Its Human and Climatic Factors Analysis,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Wu, B., Wang, Y., Zou, C., Li, R., Liu, S., Liu, G., Fu, Y.,
A Fundamental Climate Data Record Derived from AMSR-E, MWRI, and AMSR2,
GeoRS(58), No. 8, August 2020, pp. 5450-5461.
IEEE DOI 2007
Microwave radiometry, Satellite broadcasting, Calibration, Microwave imaging, Microwave measurement, microwave radiometer imager (MWRI) BibRef

Rawal, R., Pradhan, P.,
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data,
AgriVision20(350-359)
IEEE DOI 2008
Training, Measurement, Stochastic processes, Machine learning, Robustness, Satellites BibRef

Tian, M.Q.[Meng-Qi], Zhou, J.Z.[Jian-Zhong], Jia, B.J.[Ben-Jun], Lou, S.J.[Si-Jing], Wu, H.L.[Hui-Ling],
Impact of Three Gorges Reservoir Water Impoundment on Vegetation-Climate Response Relationship,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Misra, G.[Gourav], Cawkwell, F.[Fiona], Wingler, A.[Astrid],
Status of Phenological Research Using Sentinel-2 Data: A Review,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
plant phenology indicates climate change. BibRef

Liu, Z.[Zhong], Shie, C.L.[Chung-Lin], Li, A.[Angela], Meyer, D.[David],
NASA Global Satellite and Model Data Products and Services for Tropical Meteorology and Climatology,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Jacobs, Z.L.[Zoe L.], Jebri, F.[Fatma], Srokosz, M.[Meric], Raitsos, D.E.[Dionysios E.], Painter, S.C.[Stuart C.], Nencioli, F.[Francesco], Osuka, K.[Kennedy], Samoilys, M.[Melita], Sauer, W.[Warwick], Roberts, M.[Michael], Taylor, S.F.W.[Sarah F. W.], Scott, L.[Lucy], Kizenga, H.[Hellen], Popova, E.[Ekaterina],
A Major Ecosystem Shift in Coastal East African Waters During the 1997/98 Super El Nińo as Detected Using Remote Sensing Data,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Ma, J.[Jiani], Zhang, C.[Chao], Guo, H.[Hao], Chen, W.L.[Wan-Ling], Yun, W.J.[Wen-Ju], Gao, L.[Lulu], Wang, H.[Huan],
Analyzing Ecological Vulnerability and Vegetation Phenology Response Using NDVI Time Series Data and the BFAST Algorithm,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Milesi, C.[Cristina], Churkina, G.[Galina],
Measuring and Monitoring Urban Impacts on Climate Change from Space,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Yuan, X.L.[Xiu-Liang], Ochege, F.U.[Friday Uchenna], de Maeyer, P.[Philippe], Kurban, A.[Alishir],
Partitioning Global Surface Energy and Their Controlling Factors Based on Machine Learning,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Goudine, A.[Alexei], Newell, R.[Robert], Bone, C.[Christopher],
Seeing Climate Change: A Framework for Understanding Visualizations for Climate Adaptation,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Shi, Y.[Yu], Shulga, V.[Valerii], Ivaniha, O.[Oksana], Wang, Y.[Yuke], Evtushevsky, O.[Oleksandr], Milinevsky, G.[Gennadi], Klekociuk, A.[Andrew], Patoka, A.[Aleksey], Han, W.[Wei], Shulga, D.[Dmitry],
Comparison of Major Sudden Stratospheric Warming Impacts on the Mid-Latitude Mesosphere Based on Local Microwave Radiometer CO Observations in 2018 and 2019,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Rocha, A.D.[Alby D.], Groen, T.A.[Thomas A.], Skidmore, A.K.[Andrew K.], Willemen, L.[Louise],
Role of Sampling Design When Predicting Spatially Dependent Ecological Data With Remote Sensing,
GeoRS(59), No. 1, January 2021, pp. 663-674.
IEEE DOI 2012
Biological system modeling, Remote sensing, Data models, Predictive models, Correlation, Lattices, Systematics, spatial model BibRef

Duan, H.C.[Han-Chen], Xue, X.[Xian], Wang, T.[Tao], Kang, W.P.[Wen-Ping], Liao, J.[Jie], Liu, S.[Shulin],
Spatial and Temporal Differences in Alpine Meadow, Alpine Steppe and All Vegetation of the Qinghai-Tibetan Plateau and Their Responses to Climate Change,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Wang, Y.[Yuke], Milinevsky, G.[Gennadi], Evtushevsky, O.[Oleksandr], Klekociuk, A.[Andrew], Han, W.[Wei], Grytsai, A.[Asen], Antyufeyev, O.[Oleksandr], Shi, Y.[Yu], Ivaniha, O.[Oksana], Shulga, V.[Valerii],
Planetary Wave Spectrum in the Stratosphere-Mesosphere during Sudden Stratospheric Warming 2018,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Croce, P.[Pietro], Formichi, P.[Paolo], Landi, F.[Filippo],
Evaluation of Current Trends of Climatic Actions in Europe Based on Observations and Regional Reanalysis,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Gristey, J.J.[Jake J.], Su, W.Y.[Wen-Ying], Loeb, N.G.[Norman G.], Haar, T.H.V.[Thomas H. Vonder], Tornow, F.[Florian], Schmidt, K.S.[K. Sebastian], Hakuba, M.Z.[Maria Z.], Pilewskie, P.[Peter], Russell, J.E.[Jacqueline E.],
Shortwave Radiance to Irradiance Conversion for Earth Radiation Budget Satellite Observations: A Review,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Ciazela, M.[Marta], Ciazela, J.[Jakub],
Topoclimate Mapping Using Landsat ETM+ Thermal Data: Wolin Island, Poland,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Mo, W.B.[Wen-Bo], Zhao, Y.L.[Yun-Lin], Yang, N.[Nan], Xu, Z.G.[Zheng-Gang], Zhao, W.P.[Wei-Ping], Li, F.[Feng],
Effects of Climate and Land Use/Land Cover Changes on Water Yield Services in the Dongjiang Lake Basin,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Wu, J.[Jiao], Zhang, Z.J.[Zhi-Jun], He, Q.J.[Qin-Jie], Ma, G.R.[Guo-Rui],
Spatio-Temporal Analysis of Ecological Vulnerability and Driving Factor Analysis in the Dongjiang River Basin, China, in the Recent 20 Years,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Yang, W.J.[Wen-Jing], Zhao, Y.[Yong], Wang, Q.M.[Qing-Ming], Guan, B.[Buliao],
Climate, CO2, and Anthropogenic Drivers of Accelerated Vegetation Greening in the Haihe River Basin,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Rollenbeck, R.[Rütger], Orellana-Alvear, J.[Johanna], Bendix, J.[Jörg], Rodriguez, R.[Rodolfo], Pucha-Cofrep, F.[Franz], Guallpa, M.[Mario], Fries, A.[Andreas], Célleri, R.[Rolando],
The Coastal El Nino Event of 2017 in Ecuador and Peru: A Weather Radar Analysis,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Wang, M.M.[Miao-Miao], Zhao, J.[Jian], Wang, S.Q.[Shao-Qiang],
Detection of Carbon Use Efficiency Extremes and Analysis of Their Forming Climatic Conditions on a Global Scale Using a Remote Sensing-Based Model,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Zhu, B.[Bin], Zhang, Z.X.[Zeng-Xin], Tian, J.X.[Jia-Xi], Kong, R.[Rui], Chen, X.[Xi],
Increasing Negative Impacts of Climatic Change and Anthropogenic Activities on Vegetation Variation on the Qinghai-Tibet Plateau during 1982-2019,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Chi, Y.[Yuan], Liu, D.[Dahai],
Mapping the Spatiotemporal Pattern of Sandy Island Ecosystem Health during the Last Decades Based on Remote Sensing,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Tzallas, V.[Vasileios], Hünerbein, A.[Anja], Stengel, M.[Martin], Meirink, J.F.[Jan Fokke], Benas, N.[Nikos], Trentmann, J.[Jörg], Macke, A.[Andreas],
CRAAS: A European Cloud Regime dAtAset Based on the CLAAS-2.1 Climate Data Record,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Rolnick, D.[David], Donti, P.L.[Priya L.], Kaack, L.H.[Lynn H.], Kochanski, K.[Kelly], Lacoste, A.[Alexandre], Sankaran, K.[Kris], Ross, A.S.[Andrew Slavin], Milojevic-Dupont, N.[Nikola], Jaques, N.[Natasha], Waldman-Brown, A.[Anna], Luccioni, A.S.[Alexandra Sasha], Maharaj, T.[Tegan], Sherwin, E.D.[Evan D.], Mukkavilli, S.K.[S. Karthik], Kording, K.P.[Konrad P.], Gomes, C.P.[Carla P.], Ng, A.Y.[Andrew Y.], Hassabis, D.[Demis], Platt, J.C.[John C.], Creutzig, F.[Felix], Chayes, J.[Jennifer], Bengio, Y.[Yoshua],
Tackling Climate Change with Machine Learning,
Surveys(55), No. 2, February 2023, pp. xx-yy.
DOI Link 2212
Survey, Climate Change. artificial intelligence, adaptation, Climate change, machine learning, mitigation BibRef

Ma, Y.M.[Yao-Ming], Zhong, L.[Lei], Jia, L.[Li], Menenti, M.[Massimo],
Land-Atmosphere Interactions and Effects on the Climate of the Tibetan Plateau and Surrounding Regions,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Ma, Y.M.[Yao-Ming], Zhong, L.[Lei], Jia, L.[Li], Menenti, M.[Massimo],
Land-Atmosphere Interactions and Effects on the Climate of the Tibetan Plateau and Surrounding Regions II,
RS(15), No. 18, 2023, pp. 4540.
DOI Link 2310
BibRef

Nie, S.[Suping], Jia, X.L.[Xiao-Long], Deng, W.T.[Wei-Tao], Lu, Y.X.[Yi-Xiong], He, D.Y.[Dong-Yan], Zhao, L.[Liang], Cao, W.H.[Wei-Hua], Deng, X.L.[Xue-Liang],
The Influence of FY-4A High-Frequency LST Data on Data Assimilation in a Climate Model,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Wang, X.[Xander],
Remote Sensing Applications to Climate Change,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Jing, X.[Xin], Ho, S.P.[Shu-Peng], Shao, X.[Xi], Liu, T.C.[Tung-Chang], Chen, Y.[Yong], Zhou, X.[Xinjia],
Spire RO Thermal Profiles for Climate Studies: Initial Comparisons of the Measurements from Spire, NOAA-20 ATMS, Radiosonde, and COSMIC-2,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Yang, Q.R.[Qing-Ran], Jiang, C.[Chao], Ding, T.[Ting],
Impacts of Extreme-High-Temperature Events on Vegetation in North China,
RS(15), No. 18, 2023, pp. 4542.
DOI Link 2310
BibRef

Geng, S.B.[Shou-Bao], Zhou, X.[Xia], Zhang, H.M.[Hua-Min], Yang, L.[Long], Sun, Z.Y.[Zhong-Yu], Yan, X.[Xiqin], Liu, M.[Meijie],
Climatic and Anthropogenic Contributions to Vegetation Changes in Guangdong Province of South China,
RS(15), No. 22, 2023, pp. 5377.
DOI Link 2311
BibRef

Devasthale, A.[Abhay], Karlsson, K.G.[Karl-Göran], Andersson, S.[Sandra], Engström, E.[Erik],
Difference between WMO Climate Normal and Climatology: Insights from a Satellite-Based Global Cloud and Radiation Climate Data Record,
RS(15), No. 23, 2023, pp. 5598.
DOI Link 2312
BibRef

Behrenfeld, M.J.[Michael J.], Lorenzoni, L.[Laura], Hu, Y.X.[Yong-Xiang], Bisson, K.M.[Kelsey M.], Hostetler, C.A.[Chris A.], di Girolamo, P.[Paolo], Dionisi, D.[Davide], Longo, F.[Francesco], Zoffoli, S.[Simona],
Satellite Lidar Measurements as a Critical New Global Ocean Climate Record,
RS(15), No. 23, 2023, pp. 5567.
DOI Link 2312
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Tsantalidou, A.[Argyro], Arvanitakis, G.[George], Georgoulias, A.K.[Aristeidis K.], Akritidis, D.[Dimitris], Zanis, P.[Prodromos], Fornasiero, D.[Diletta], Wohlgemuth, D.[Daniel], Kontoes, C.[Charalampos],
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Nieves, V.[Veronica], Ruescas, A.[Ana], Sauzčde, R.[Raphaëlle],
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Muszynski, G.[Grzegorz], Prabhat, Balewski, J.[Jan], Kashinath, K.[Karthik], Wehner, M.[Michael], Kurlin, V.[Vitaliy],
Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data,
ICPR21(677-684)
IEEE DOI 2105
Heating systems, Estimation error, Event detection, Atmospheric modeling, Data models, Pattern recognition, Spatiotemporal phenomena BibRef

Romero, V.[Verónica], Sánchez, J.A.[Joan Andreu],
The HisClima database: historical weather logs for automatic transcription and information extraction,
ICPR21(10141-10148)
IEEE DOI 2105
Databases, Text recognition, Atmospheric modeling, Wind speed, Predictive models, Information retrieval, Data mining, historical weather logs BibRef

Kanevski, M.[Mikhail], Laib, M.[Mohamed],
Unsupervised Learning of High Dimensional Environmental Data Using Local Fractality Concept,
MAES20(130-138).
Springer DOI 2103
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Fonte, C.C., See, L., Lesiv, M., Fritz, S.,
A Preliminary Quality Analysis of The Climate Change Initiative Land Cover Products for Continental Portugal,
ISSDQ19(1213-1220).
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Cho, S., Lee, Y.W.,
Deep Learning-based Analysis of The Relationships Between Climate Change and Crop Yield in China,
Gi4DM19(93-95).
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Liss, A.[Alexander], Gel, Y.R.[Yulia R.], Kulinkina, A.[Alexandra], Naumova, E.N.[Elena N.],
Extending Lkn Climate Regionalization With Spatial Regularization: An Application To Epidemiological Research,
ISPRS16(B8: 209-213).
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Oba, A., Yan, W.,
Design of Livestock Management Tool for Climate Change Risk In Mongolia,
ISPRS12(XXXIX-B4:437-438).
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Zhou, J.[Jian], Sieber, R.E.[Renee E.],
Visualize Climate Data in Google Earth,
CGC10(325).
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Chung, I.S.[Insoo Steven], Rinner, C.[Claus],
The Potential of the Participatory Geoweb for Public Engagement and Decision-Making in Climate Change Issues,
CGC10(329).
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Schroth, O.[Olaf], Pond, E.[Ellen], Sheppard, S.S.R.J.[Stephen S.R.J.],
Kimberley Climate Change Visioning,
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Ricker, B.[Britta], Hedley, N.[Nick],
Developing location-based augmented reality applications for climate change communication and social mobilization,
CGC10(318).
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Erosion Analysis, Changes .


Last update:Mar 16, 2024 at 20:36:19