Schuessler, O.,
Rodriguez, D.G.L.[D.G. Loyola],
Doicu, A.,
Spurr, R.,
Information Content in the Oxygen A-Band for the Retrieval of
Macrophysical Cloud Parameters,
GeoRS(52), No. 6, June 2014, pp. 3246-3255.
IEEE DOI
1403
Atmospheric modeling
BibRef
Smith, G.L.,
Priestley, K.J.,
Loeb, N.G.,
Clouds and Earth Radiant Energy System: From Design to Data,
GeoRS(52), No. 3, March 2014, pp. 1729-1738.
IEEE DOI
1403
atmospheric measuring apparatus
BibRef
Dubovik, O.[Oleg],
Lapyonok, T.[Tatyana],
Litvinov, P.[Pavel],
Herman, M.[Maurice],
Fuertes, D.[David],
Ducos, F.[Fabrice],
Torres, B.[Benjamin],
Derimian, Y.[Yevgeny],
Huang, X.[Xin],
Lopatin, A.[Anton],
Chaikovsky, A.[Anatoli],
Aspetsberger, M.[Michael],
Federspiel, C.[Christian],
GRASP: a versatile algorithm for characterizing the atmosphere,
SPIE(Newsroom), September 19, 2014.
DOI Link
1410
A unified algorithm for retrieving a variety of atmospheric properties
is applicable to remote sensing observations obtained from space,
ground, and aircraft.
BibRef
Barducci, A.,
Guzzi, D.,
Lastri, C.,
Marcoionni, P.,
Nardino, V.,
Pippi, I.,
Emissivity and Temperature Assessment Using a Maximum Entropy
Estimator: Structure and Performance of the MaxEnTES Algorithm,
GeoRS(53), No. 2, February 2015, pp. 738-751.
IEEE DOI
1411
atmospheric spectra
BibRef
Lenhard, K.,
Baumgartner, A.,
Schwarzmaier, T.,
Independent Laboratory Characterization of NEO HySpex Imaging
Spectrometers VNIR-1600 and SWIR-320m-e,
GeoRS(53), No. 4, April 2015, pp. 1828-1841.
IEEE DOI
1502
atmospheric measuring apparatus
BibRef
Okuyama, A.,
Imaoka, K.,
Intercalibration of Advanced Microwave Scanning Radiometer-2 (AMSR2)
Brightness Temperature,
GeoRS(53), No. 8, August 2015, pp. 4568-4577.
IEEE DOI
1506
atmospheric measuring apparatus
BibRef
Li, Y.,
Lin, X.,
Song, S.,
Yang, Y.,
Cheng, X.,
Chen, Z.,
Liu, L.,
Xia, Y.,
Xiong, J.,
Gong, S.,
Li, F.,
A Combined Rotational Raman-Rayleigh Lidar for Atmospheric
Temperature Measurements Over 5X80 km With Self-Calibration,
GeoRS(54), No. 12, December 2016, pp. 7055-7065.
IEEE DOI
1612
BibRef
And:
Corrections:
GeoRS(55), No. 2, February 2017, pp. 1222-1222.
IEEE DOI
1702
Atmospheric measurements.
atmospheric temperature
BibRef
Pivovarník, M.,
Khalsa, S.J.S.,
Jiménez-Muñoz, J.C.,
Zemek, F.,
Improved Temperature and Emissivity Separation Algorithm for
Multispectral and Hyperspectral Sensors,
GeoRS(55), No. 4, April 2017, pp. 1944-1953.
IEEE DOI
1704
atmospheric radiation
BibRef
Tenjo, C.,
Rivera-Caicedo, J.P.,
Sabater, N.,
Servera, J.V.[J. Vicent],
Alonso, L.,
Verrelst, J.,
Moreno, J.,
Design of a Generic 3-D Scene Generator for Passive Optical Missions
and Its Implementation for the ESA's FLEX/Sentinel-3 Tandem Mission,
GeoRS(56), No. 3, March 2018, pp. 1290-1307.
IEEE DOI
1804
atmospheric techniques, geophysical techniques,
land surface temperature, radiative transfer, radiometers,
surface-atmosphere coupling
BibRef
Ouyang, X.Y.[Xiao-Ying],
Chen, D.M.[Dong-Mei],
Lei, Y.H.[Yong-Hui],
A Generalized Evaluation Scheme for Comparing Temperature Products
from Satellite Observations, Numerical Weather Model, and Ground
Measurements Over the Tibetan Plateau,
GeoRS(56), No. 7, July 2018, pp. 3876-3894.
IEEE DOI
1807
atmospheric techniques, land surface temperature,
numerical analysis, remote sensing, weather forecasting,
surface temperature
BibRef
Liu, F.,
Yi, F.,
Zhang, Y.,
Yi, Y.,
Double-Receiver-Based Pure Rotational Raman LiDAR for Measuring
Atmospheric Temperature at Altitudes Between Near Ground and Up To 35
km,
GeoRS(57), No. 12, December 2019, pp. 10301-10309.
IEEE DOI
1912
Laser radar, Receivers, Temperature measurement,
Atmospheric measurements, Laser beams, Telescopes, Lenses,
pure rotational Raman (PRR)
BibRef
Yang, J.J.[Jing-Jing],
Duan, S.B.[Si-Bo],
Zhang, X.Y.[Xiao-Yu],
Wu, P.H.[Peng-Hai],
Huang, C.[Cheng],
Leng, P.[Pei],
Gao, M.F.[Mao-Fang],
Evaluation of Seven Atmospheric Profiles from Reanalysis and
Satellite-Derived Products: Implication for Single-Channel Land
Surface Temperature Retrieval,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Jacobs, A.M.[Ariel M.],
Bell, T.M.[Tyler M.],
Greene, B.R.[Brian R.],
Chilson, P.B.[Phillip B.],
The Effect of Climatological Variables on Future UAS-Based
Atmospheric Profiling in the Lower Atmosphere,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Capek, T.[Tyler],
Borysow, J.[Jacek],
Mazzoleni, C.[Claudio],
Moraldi, M.[Massimo],
Toward Non-Invasive Measurement of Atmospheric Temperature Using
Vibro-Rotational Raman Spectra of Diatomic Gases,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Kim, S.[Sungho],
Novel Air Temperature Measurement Using Midwave Hyperspectral Fourier
Transform Infrared Imaging in the Carbon Dioxide Absorption Band,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Qiu, X.,
Jia, G.,
Zhao, H.,
Zhang, C.,
Antinoise Estimation of Temperature and Emissivity for FTIR
Spectrometer Data Using Spectral Polishing Filters: Design and
Comparison,
GeoRS(59), No. 4, April 2021, pp. 3292-3308.
IEEE DOI
2104
Estimation, Instruments, Land surface temperature,
Temperature measurement, Atmospheric measurements,
temperature and emissivity separation (TES)
BibRef
Chen, R.N.[Ruo-Nan],
Liu, L.Y.[Liang-Yun],
Liu, X.J.[Xin-Jie],
Satellite-Based Observations Reveal the Altitude-Dependent Patterns
of SIFyield and Its Sensitivity to Ambient Temperature in Tibetan
Meadows,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Kim, S.[Sungho],
Shin, J.[Jungsub],
Kim, S.[Sunho],
AT2ES: Simultaneous Atmospheric Transmittance-Temperature-Emissivity
Separation Using Online Upper Midwave Infrared Hyperspectral Images,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Shen, Z.[Zhen],
Zhang, K.F.[Ke-Fei],
Zhu, D.[Dantong],
He, Q.M.[Qi-Min],
Wan, M.F.[Mou-Feng],
Li, L.J.[Long-Jiang],
Wu, S.Q.[Su-Qin],
Assessment of the Homogeneity of Long-Term Multi-Mission RO-Based
Temperature Climatologies,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Bahari, N.I.S.[Nurul Iman Saiful],
Muharam, F.M.[Farrah Melissa],
Zulkafli, Z.[Zed],
Mazlan, N.[Norida],
Husin, N.A.[Nor Azura],
Modified Linear Scaling and Quantile Mapping Mean Bias Correction of
MODIS Land Surface Temperature for Surface Air Temperature Estimation
for the Lowland Areas of Peninsular Malaysia,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Yu, Y.N.[Yi-Ning],
Xiao, W.X.[Wan-Xin],
Zhang, Z.L.[Zhi-Lun],
Cheng, X.[Xiao],
Hui, F.M.[Feng-Ming],
Zhao, J.C.[Jie-Chen],
Evaluation of 2-m Air Temperature and Surface Temperature from ERA5
and ERA-I Using Buoy Observations in the Arctic during 2010-2020,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Aires, F.[Filipe],
Pellet, V.[Victor],
Estimating Retrieval Errors From Neural Network Inversion Schemes:
Application to the Retrieval of Temperature Profiles From IASI,
GeoRS(59), No. 8, August 2021, pp. 6386-6396.
IEEE DOI
2108
Uncertainty, Atmospheric modeling, Databases, Ocean temperature,
Remote sensing, Satellites, Artificial neural networks,
satellite remote sensing
BibRef
Gao, W.L.[Wen-Liang],
Gao, J.X.[Jing-Xiang],
Yang, L.[Liu],
Wang, M.J.[Ming-Jun],
Yao, W.H.[Wen-Hao],
A Novel Modeling Strategy of Weighted Mean Temperature in China Using
RNN and LSTM,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Xia, X.L.[Xin-Lu],
Zou, X.L.[Xiao-Lei],
Combining FY-3D MWTS-2 with AMSU-A Data for Inter-Decadal Diurnal
Correction and Climate Trends of Atmospheric Temperature,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Egorov, D.P.[Dobroslav P.],
Kutuza, B.G.[Boris G.],
Atmospheric Brightness Temperature Fluctuations in the Resonance
Absorption Band of Water Vapor 18-27.2 GHz,
GeoRS(59), No. 9, September 2021, pp. 7627-7634.
IEEE DOI
2109
Temperature measurement, Microwave radiometry,
Atmospheric measurements, Brightness temperature, Absorption,
water vapor
BibRef
Li, S.[Suosuo],
Liu, Y.[Yuanpu],
Pan, Y.J.[Yong-Jie],
Li, Z.[Zhe],
Lyu, S.H.[Shi-Hua],
Integrating Remote-Sensing and Assimilation Data to Improve Air
Temperature on Hot Weather in East China,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Li, R.[Rui],
Huang, T.L.[Tai-Lai],
Song, Y.[Yu],
Huang, S.Z.[Shu-Zhe],
Zhang, X.[Xiang],
Generating 1 km Spatially Seamless and Temporally Continuous Air
Temperature Based on Deep Learning over Yangtze River Basin, China,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Liu, J.P.[Jin-Ping],
Ren, Y.[Yanqun],
Tao, H.[Hui],
Shalamzari, M.J.[Masoud Jafari],
Spatial and Temporal Variation Characteristics of Heatwaves in Recent
Decades over China,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Choi, S.[Sungwon],
Jin, D.H.[Dong-Hyun],
Seong, N.H.[Noh-Hun],
Jung, D.[Daeseong],
Sim, S.Y.[Su-Young],
Woo, J.[Jongho],
Jeon, U.[Uujin],
Byeon, Y.[Yugyeong],
Han, K.S.[Kyung-Soo],
Near-Surface Air Temperature Retrieval Using a Deep Neural Network
from Satellite Observations over South Korea,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Golubeva, E.[Elena],
Kraineva, M.[Marina],
Platov, G.[Gennady],
Iakshina, D.[Dina],
Tarkhanova, M.[Marina],
Marine Heatwaves in Siberian Arctic Seas and Adjacent Region,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Shi, H.Y.[Han-Yu],
Xiao, Z.Q.[Zhi-Qiang],
Wen, J.[Jianguang],
Wu, S.B.[Sheng-Biao],
An Optical-Thermal Surface-Atmosphere Radiative Transfer Model
Coupling Framework With Topographic Effects,
GeoRS(60), 2022, pp. 1-12.
IEEE DOI
2112
Surface topography, Land surface, Atmospheric modeling,
Surface treatment, Adaptive optics, Sun, Optical coupling,
topography
BibRef
Zhang, Z.W.[Zhen-Wei],
Du, Q.Y.[Qing-Yun],
Hourly mapping of surface air temperature by blending geostationary
datasets from the two-satellite system of GOES-R series,
PandRS(183), 2022, pp. 111-128.
Elsevier DOI
2201
Surface air temperature, Hourly resolution, GOES-R, Geostationary satellites
BibRef
Saunkin, A.[Andrei],
Vasilyev, R.[Roman],
Zorkaltseva, O.[Olga],
Study of Atomic Oxygen Airglow Intensities and Air Temperature near
Mesopause Obtained by Ground-Based and Satellite Instruments above
Baikal Natural Territory,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Rosas-Chavoya, M.[Marcela],
López-Serrano, P.M.[Pablito Marcelo],
Hernández-Díaz, J.C.[José Ciro],
Wehenkel, C.[Christian],
Vega-Nieva, D.J.[Daniel José],
Analysis of Near-Surface Temperature Lapse Rates in Mountain
Ecosystems of Northern Mexico Using Landsat-8 Satellite Images and
ECOSTRESS,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Fan, W.W.[Wei-Wei],
Hu, Z.Y.[Ze-Yong],
Ma, W.Q.[Wei-Qiang],
Ma, Y.M.[Yao-Ming],
Han, C.[Cunbo],
Han, X.[Xiang],
Yang, Y.X.[Yao-Xian],
Yu, H.P.[Hai-Peng],
Fu, C.W.[Chun-Wei],
Wu, D.[Di],
Dominant Modes of Tibetan Plateau Summer Surface Sensible Heating and
Associated Atmospheric Circulation Anomalies,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Pang, X.P.[Xiao-Ping],
Liu, C.[Chuang],
Zhao, X.[Xi],
He, B.[Bin],
Fan, P.[Pei],
Liu, Y.[Yue],
Qu, M.[Meng],
Ding, M.H.[Ming-Hu],
Application of Machine Learning for Simulation of Air Temperature at
Dome A,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Su, M.S.[Min-Shu],
Huang, X.[Xiao],
Xu, Z.[Zhen],
Zhu, W.H.[Wei-Hong],
Lin, Z.H.[Zhe-Hao],
A Decrease in the Daily Maximum Temperature during Global Warming
Hiatus Causes a Delay in Spring Phenology in the China-DPRK-Russia
Cross-Border Area,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Li, L.[Li],
Li, Y.[Yuan],
He, Q.M.[Qi-Min],
Wang, X.M.[Xiao-Ming],
Weighted Mean Temperature Modelling Using Regional Radiosonde
Observations for the Yangtze River Delta Region in China,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Han, S.[Shuai],
Shi, C.X.[Chun-Xiang],
Sun, S.[Shuai],
Gu, J.X.[Jun-Xia],
Xu, B.[Bin],
Liao, Z.H.[Zhi-Hong],
Zhang, Y.[Yu],
Xu, Y.Q.[Yan-Qin],
Development and Evaluation of a Real-Time Hourly One-Kilometre
Gridded Multisource Fusion Air Temperature Dataset in China Based on
Remote Sensing DEM,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Gao, Y.[Yang],
Mao, D.Y.[Dong-Yan],
Wang, X.[Xin],
Qin, D.Y.[Dan-Yu],
Evaluation of FY-4A Temperature Profile Products and Application to
Winter Precipitation Type Diagnosis in Southern China,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Ma, Y.J.[Yong-Jie],
Zhao, Q.Z.[Qing-Zhi],
Wu, K.[Kan],
Yao, W.Q.[Wan-Qiang],
Liu, Y.[Yang],
Li, Z.[Zufeng],
Shi, Y.[Yun],
Comprehensive Analysis and Validation of the Atmospheric Weighted
Mean Temperature Models in China,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Zhang, X.[Xiang],
Huang, T.[Tailai],
Gulakhmadov, A.[Aminjon],
Song, Y.[Yu],
Gu, X.H.[Xi-Hui],
Zeng, J.Y.[Jiang-Yuan],
Huang, S.Z.[Shu-Zhe],
Nam, W.H.[Won-Ho],
Chen, N.C.[Neng-Cheng],
Niyogi, D.[Dev],
Deep Learning-Based 500 m Spatio-Temporally Continuous Air
Temperature Generation by Fusing Multi-Source Data,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Zhang, B.B.[Bing-Bing],
Wang, Z.T.[Zheng-Tao],
Li, W.[Wang],
Jiang, W.[Wei],
Shen, Y.[Yi],
Zhang, Y.[Yan],
Zhang, S.[Shike],
Tian, K.[Kunjun],
An Improved Spatiotemporal Weighted Mean Temperature Model over
Europe Based on the Nonlinear Least Squares Estimation Method,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Cai, M.[Meng],
Li, J.Y.[Jun-Yu],
Liu, L.L.[Li-Long],
Huang, L.K.[Liang-Ke],
Zhou, L.[Lv],
Huang, L.[Ling],
He, H.C.[Hong-Chang],
Weighted Mean Temperature Hybrid Models in China Based on Artificial
Neural Network Methods,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Song, H.[Heyang],
Kong, D.D.[Dong-Dong],
Xiong, L.[Li],
Gu, X.H.[Xi-Hui],
Liu, J.Y.[Jian-Yu],
Inter-Comparison of Diverse Heatwave Definitions in the Analysis of
Spatiotemporally Contiguous Heatwave Events over China,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Huang, X.L.[Xiao-Long],
Han, S.[Shuai],
Shi, C.X.[Chun-Xiang],
Evaluation of Three Air Temperature Reanalysis Datasets in the Alpine
Region of the Qinghai-Tibet Plateau,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Wu, T.X.[Tian-Xiao],
Li, B.[Baofu],
Lian, L.[Lishu],
Zhu, Y.B.[Yan-Bing],
Chen, Y.F.[Yan-Feng],
Assessment of the Combined Risk of Drought and High-Temperature Heat
Wave Events in the North China Plain during Summer,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Chen, X.[Xin],
Wang, C.[Chen],
Li, H.M.[Hui-Min],
He, Y.J.[Yi-Jun],
Improving the Reconstruction of Vertical Temperature Profiles on
Account of Oceanic Front Impacts,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Lin, Y.Y.[Ying-Yun],
Xu, J.[Jiyao],
van den IJssel, J.[Jose],
Yuan, W.[Wei],
A Novel Method to Derive Exospheric Temperatures from Swarm
Thermospheric Densities during Quiet Times,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Che, J.H.[Jia-Hang],
Ding, M.H.[Ming-Hu],
Zhang, Q.L.[Qing-Lin],
Wang, Y.T.[Ye-Tang],
Sun, W.J.[Wei-Jun],
Wang, Y.Z.[Yu-Zhe],
Wang, L.[Lei],
Huai, B.[Baojuan],
Reconstruction of Near-Surface Air Temperature over the Greenland Ice
Sheet Based on MODIS Data and Machine Learning Approaches,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Du, B.Y.[Bao-Yu],
Mao, K.[Kebiao],
Bateni, S.M.[Sayed M.],
Meng, F.[Fei],
Wang, X.M.[Xu-Ming],
Guo, Z.H.[Zhong-Hua],
Jun, C.H.[Chang-Hyun],
Du, G.M.[Guo-Ming],
A Novel Fully Coupled Physical-Statistical-Deep Learning Method for
Retrieving Near-Surface Air Temperature from Multisource Data,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Li, Q.Q.[Qian-Qian],
Yan, X.[Xian],
Wang, Z.W.[Zi-Wen],
Li, Z.L.[Zheng-Lin],
Cao, S.[Shoulian],
Tong, Q.[Qian],
Inversion of the Full-Depth Temperature Profile Based on Few
Depth-Fixed Temperatures,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Ming, S.G.[Shang-Guan],
Wang, W.[Wuke],
Analysis of Temperature Semi-Annual Oscillations (SAO) in the Middle
Atmosphere,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Wan, X.K.[Xiang-Kun],
Li, X.F.[Xiao-Feng],
Jiang, T.[Tao],
Zheng, X.M.[Xing-Ming],
Li, L.[Lei],
Wang, X.G.[Xi-Gang],
High-Resolution Imaging of Radiation Brightness Temperature Obtained
by Drone-Borne Microwave Radiometer,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Yang, D.[Dewei],
Zhong, S.B.[Shao-Bo],
Mei, X.[Xin],
Ye, X.[Xinlan],
Niu, F.[Fei],
Zhong, W.Q.[Wei-Qi],
A Comparative Study of Several Popular Models for Near-Land Surface
Air Temperature Estimation,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Wang, X.[Xiqiang],
Chen, R.S.[Ren-Sheng],
Evaluation of Spatial and Temporal Variations in the Difference
between Soil and Air Temperatures on the Qinghai-Tibetan Plateau
Using Reanalysis Data Products,
RS(15), No. 7, 2023, pp. 1894.
DOI Link
2304
BibRef
Zhang, Z.W.[Zhen-Wei],
Liang, Y.Z.[Yan-Zhi],
Zhang, G.X.[Guang-Xia],
Liang, C.[Chen],
Large-Scale Estimation of Hourly Surface Air Temperature Based on
Observations from the FY-4A Geostationary Satellite,
RS(15), No. 7, 2023, pp. 1753.
DOI Link
2304
BibRef
Wang, S.[Sufeng],
Feng, Y.[Yutao],
Fu, D.[Di],
Kong, L.[Liang],
Li, H.B.[Hong-Bo],
Han, B.[Bin],
Lu, F.[Feng],
Stratospheric Temperature Observations by Narrow Bands Ultra-High
Spectral Resolution Sounder from Nadir-Viewing Satellites,
RS(15), No. 8, 2023, pp. 1967.
DOI Link
2305
BibRef
Ming, F.C.[Fabrice Chane],
Hauchecorne, A.[Alain],
Bellisario, C.[Christophe],
Simoneau, P.[Pierre],
Keckhut, P.[Philippe],
Trémoulu, S.[Samuel],
Listowski, C.[Constantino],
Berthet, G.[Gwenaël],
Jégou, F.[Fabrice],
Khaykin, S.[Sergey],
Tidiga, M.[Mariam],
Le Pichon, A.[Alexis],
Case Study of a Mesospheric Temperature Inversion over Maido
Observatory through a Multi-Instrumental Observation,
RS(15), No. 8, 2023, pp. 2045.
DOI Link
2305
BibRef
Wang, Y.Y.X.[Yuan-Yan-Xin],
Liu, J.X.[Jin-Xiu],
Zhu, W.B.[Wen-Bin],
Estimation of Instantaneous Air Temperature under All-Weather
Conditions Based on MODIS Products in North and Southwest China,
RS(15), No. 11, 2023, pp. 2701.
DOI Link
2306
BibRef
Wang, H.[Hongkun],
Liu, D.[Dong],
Xia, Y.W.[Ying-Wei],
Xie, W.[Wanyi],
Wang, Y.[Yiren],
Retrieval of Atmospheric Temperature Profile from Historical Data and
Ground-Based Observations by Using a Machine Learning Algorithm,
RS(15), No. 11, 2023, pp. 2717.
DOI Link
2306
BibRef
Tepanosyan, G.[Garegin],
Asmaryan, S.[Shushanik],
Muradyan, V.[Vahagn],
Avetisyan, R.[Rima],
Hovsepyan, A.[Azatuhi],
Khlghatyan, A.[Anahit],
Ayvazyan, G.[Grigor],
Dell'Acqua, F.[Fabio],
Machine Learning-Based Modeling of Air Temperature in the Complex
Environment of Yerevan City, Armenia,
RS(15), No. 11, 2023, pp. 2795.
DOI Link
2306
BibRef
Ma, Y.[Yufen],
Liu, J.J.[Juan-Juan],
Mamtimin, A.[Ali],
Aihaiti, A.[Ailiyaer],
Xu, L.[Lan],
Validation of FY-4A Temperature Profiles by Radiosonde Observations
in Taklimakan Desert in China,
RS(15), No. 11, 2023, pp. 2925.
DOI Link
2306
BibRef
Qiao, Y.[Yale],
Ji, D.[Dabin],
Shang, H.Z.[Hua-Zhe],
Xu, J.[Jian],
Xu, R.[Ri],
Shi, C.[Chong],
The Fusion of ERA5 and MERRA-2 Atmospheric Temperature Profiles with
Enhanced Spatial Resolution and Accuracy,
RS(15), No. 14, 2023, pp. 3592.
DOI Link
2307
BibRef
Li, X.Q.[Xin-Qi],
Zhong, K.[Kai],
Zhang, X.Z.[Xian-Zhong],
Wu, T.[Tong],
Zhang, Y.J.[Yi-Jian],
Wang, Y.[Yu],
Li, S.J.[Shi-Jie],
Yan, Z.[Zhaoai],
Xu, D.[Degang],
Yao, J.Q.[Jian-Quan],
Uncertainty Evaluation on Temperature Detection of Middle Atmosphere
by Rayleigh Lidar,
RS(15), No. 14, 2023, pp. 3688.
DOI Link
2307
BibRef
Wang, Y.W.[Yu-Wei],
Zhao, N.[Na],
Spatiotemporal Variations of Global Human-Perceived Heatwave Risks
and their Driving Factors Based on Machine Learning,
RS(15), No. 14, 2023, pp. 3627.
DOI Link
2307
BibRef
Lin, M.H.[Ming-Hao],
Fang, Q.[Qiang],
Xia, J.Z.[Ji-Zhe],
Xu, C.Y.[Chen-Yang],
Air Temperature Monitoring over Low Latitude Rice Planting Areas:
Combining Remote Sensing, Model Assimilation, and Machine Learning
Techniques,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link
2308
BibRef
Sun, W.J.[Wen-Jin],
Zhou, S.Y.[Shu-Yi],
Yang, J.S.[Jing-Song],
Gao, X.Q.[Xiao-Qian],
Ji, J.L.[Jin-Lin],
Dong, C.M.[Chang-Ming],
Artificial Intelligence Forecasting of Marine Heatwaves in the South
China Sea Using a Combined U-Net and ConvLSTM System,
RS(15), No. 16, 2023, pp. 4068.
DOI Link
2309
BibRef
Li, X.Z.[Xin-Zhe],
Zhou, J.[Jia],
Huang, Y.[Yangbin],
Wang, R.[Ruyun],
Lu, T.[Tao],
Quantifying Water Impoundment-Driven Air Temperature Changes in the
Dammed Jinsha River, Southwest China,
RS(15), No. 17, 2023, pp. 4280.
DOI Link
2310
BibRef
Shen, Z.F.[Zhan-Fei],
Shi, C.X.[Chun-Xiang],
Shen, R.P.[Run-Ping],
Tie, R.[Ruian],
Ge, L.L.[Ling-Ling],
Spatial Downscaling of Near-Surface Air Temperature Based on Deep
Learning Cross-Attention Mechanism,
RS(15), No. 21, 2023, pp. 5084.
DOI Link
2311
BibRef
Adão, F.[Filipe],
Fraga, H.[Helder],
Fonseca, A.[André],
Malheiro, A.C.[Aureliano C.],
Santos, J.A.[João A.],
The Relationship between Land Surface Temperature and Air Temperature
in the Douro Demarcated Region, Portugal,
RS(15), No. 22, 2023, pp. 5373.
DOI Link
2311
BibRef
Bi, Y.M.[Yan-Meng],
Yang, J.[Jun],
Wei, C.Y.[Cai-Ying],
Dou, F.L.[Fang-Li],
Xu, W.W.[Wei-Wei],
An, D.W.[Da-Wei],
Luan, Y.[Yinghong],
Feng, J.F.[Jian-Feng],
Zhang, L.[Lichang],
Atmospheric Temperature Measurements Using Microwave Hyper-Spectrum
from Geostationary Satellite: Band Design, Weighting Functions and
Information Content,
RS(16), No. 2, 2024, pp. 289.
DOI Link
2402
BibRef
Zhang, J.[Jingkui],
Yang, L.[Liu],
Wang, J.[Jian],
Wang, Y.F.[Yi-Fan],
Liu, X.T.[Xi-Tian],
A New Empirical Model of Weighted Mean Temperature Combining ERA5
Reanalysis Data, Radiosonde Data, and TanDEM-X 90m Products over
China,
RS(16), No. 5, 2024, pp. 855.
DOI Link
2403
BibRef
Corbea-Pérez, A.[Alejandro],
Recondo, C.[Carmen],
Calleja, J.F.[Javier F.],
Improvements in the Estimation of Air Temperature with Empirical
Models on Livingston and Deception Islands in Maritime Antarctica
(2000-2016) Using C6 MODIS LST,
RS(16), No. 6, 2024, pp. 1084.
DOI Link
2403
BibRef
Guo, X.F.[Xiao-Fang],
Yang, Z.[Zongru],
Ma, G.[Gang],
Yu, Y.[Yi],
Zhang, P.[Peng],
Zhang, B.L.[Bang-Lin],
A Fast Forward Modelling Method for Simulating Satellite Observations
Using Observing Path Tracking,
RS(16), No. 6, 2024, pp. 1030.
DOI Link
2403
Atmospheric temperature variations due to heitht of satellite.
BibRef
Blizer, A.[Amit],
Glickman, O.[Oren],
Lensky, I.M.[Itamar M.],
Comparing ML Methods for Downscaling Near-Surface Air Temperature
over the Eastern Mediterranean,
RS(16), No. 8, 2024, pp. 1314.
DOI Link
2405
BibRef
Xu, X.Z.[Xiao-Ze],
Han, W.[Wei],
Gao, Z.Q.[Zhi-Qiu],
Li, J.[Jun],
Yin, R.Y.[Ruo-Ying],
Retrieval of Atmospheric Temperature Profiles from FY-4A/GIIRS
Hyperspectral Data Based on TPE-MLP: Analysis of Retrieval Accuracy
and Influencing Factors,
RS(16), No. 11, 2024, pp. 1976.
DOI Link
2406
BibRef
Mihaila, D.[Dumitru],
Bistricean, P.I.[Petrut-Ionel],
Sfîca, L.[Lucian],
Horodnic, V.D.[Vasilica-Danut],
Prisacariu, A.[Alin],
Amihaesei, V.A.[Vlad-Alexandru],
Summer Discrepancies between 2 m Air Temperature and Landsat LST in
Suceava City, Northeastern Romania,
RS(16), No. 16, 2024, pp. 2967.
DOI Link
2408
BibRef
Iizuka, K.[Kotaro],
Akiyama, Y.[Yuki],
Takase, M.[Minaho],
Fukuba, T.[Toshikazu],
Yachida, O.[Osamu],
Microscale Temperature-Humidity Index (THI) Distribution Estimated at
the City Scale: A Case Study in Maebashi City, Gunma Prefecture,
Japan,
RS(16), No. 17, 2024, pp. 3164.
DOI Link
2409
BibRef
Liu, H.L.[Hai-Lei],
Duan, M.Z.[Min-Zheng],
Zhou, X.Q.[Xiao-Qing],
Zhang, S.L.[Sheng-Lan],
Deng, X.B.[Xiao-Bo],
Zhang, M.L.[Mao-Lin],
Neural Network-Based Estimation of Near-Surface Air Temperature in
All-Weather Conditions Using FY-4A AGRI Data over China,
RS(16), No. 19, 2024, pp. 3612.
DOI Link
2410
BibRef
Zhou, K.[Kang],
Zhang, C.[Chunju],
Xu, B.[Bing],
Huang, J.W.[Jian-Wei],
Li, C.X.[Chen-Xi],
Pei, Y.F.[Yi-Fan],
TE-LSTM: A Prediction Model for Temperature Based on Multivariate
Time Series Data,
RS(16), No. 19, 2024, pp. 3666.
DOI Link
2410
BibRef
Zhang, Z.W.[Zhen-Wei],
Li, P.S.[Pei-Song],
Zheng, X.D.[Xiao-Di],
Zhang, H.W.[Hong-Wei],
Remotely Sensed Estimation of Daily Near-Surface Air Temperature: A
Comparison of Metop and MODIS,
RS(16), No. 20, 2024, pp. 3754.
DOI Link
2411
BibRef
Luo, W.H.[Wen-Hui],
Ma, J.[Jinji],
Li, M.[Miao],
Xu, H.F.[Hai-Feng],
Wan, C.[Cheng],
Li, Z.Q.[Zheng-Qiang],
Spatial and Temporal Characterization of Near Space Temperature and
Humidity and Their Driving Influences,
RS(16), No. 22, 2024, pp. 4307.
DOI Link
2412
BibRef
Wang, Y.H.[Yu-Hao],
Wu, X.F.[Xiao-Fei],
Zhang, H.X.[Hao-Xin],
Ren, H.L.[Hong-Li],
Yang, K.Q.[Kai-Qing],
Evaluation of Fengyun-4B Satellite Temperature Profile Products Using
Radiosonde Observations and ERA5 Reanalysis over Eastern Tibetan
Plateau,
RS(16), No. 22, 2024, pp. 4155.
DOI Link
2412
BibRef
Shen, Y.[Yi],
Li, P.[Peicheng],
Zhang, B.B.[Bing-Bing],
Wu, T.[Tong],
Zhu, J.[Junkuan],
Li, Q.[Qing],
Li, W.[Wang],
An Empirical Atmospheric Weighted Average Temperature Enhancement
Model in the Yunnan-Guizhou Plateau Considering Surface Temperature,
RS(16), No. 23, 2024, pp. 4366.
DOI Link
2501
BibRef
Wang, W.[Wei],
Brönnimann, S.[Stefan],
Zhou, J.[Ji],
Li, S.P.[Shao-Peng],
Wang, Z.W.[Zi-Wei],
Near-surface air temperature estimation for areas with sparse
observations based on transfer learning,
PandRS(220), 2025, pp. 712-727.
Elsevier DOI
2502
Near-surface air temperature, Transfer learning,
Sparse observation regions, NSAT estimation
BibRef
Cecilia, A.[Andrea],
Casasanta, G.[Giampietro],
Petenko, I.[Igor],
Argentini, S.[Stefania],
A Machine Learning Algorithm to Convert Geostationary Satellite LST
to Air Temperature Using In Situ Measurements: A Case Study in Rome
and High-Resolution Spatio-Temporal UHI Analysis,
RS(17), No. 3, 2025, pp. 468.
DOI Link
2502
BibRef
Natsagdorj, B.,
Dalantai, S.,
Sumiya, E.,
Bao, Y.,
Bayarsaikhan, S.,
Batsaikhan, B.,
Ganbat, D.,
Assessment of Some Meteorology Data of Average Monthly Air Temperature
Over Mongolia Using Digital Elevation Model (DEM) and GIS Techniques,
ISPRS21(B4-2021: 117-121).
DOI Link
2201
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Heat Flux .