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Journal articles on the topic 'Earth temperature. TIROS satellites'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Menzel, W. Paul, Timothy J. Schmit, Peng Zhang, and Jun Li. "Satellite-Based Atmospheric Infrared Sounder Development and Applications." Bulletin of the American Meteorological Society 99, no. 3 (2018): 583–603. http://dx.doi.org/10.1175/bams-d-16-0293.1.

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Abstract Atmospheric sounding of the vertical changes in temperature and moisture is one of the key contributions from meteorological satellites. The concept of using satellite infrared radiation observations for retrieving atmospheric temperature was first proposed by Jean I. F. King. Lewis D. Kaplan noted that the radiation from different spectral regions are primarily emanating from different atmospheric layers, which can be used to retrieve the atmospheric temperature at different heights in the atmosphere. The United States launched the first meteorological satellite Television Infrared O

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Khalsa, Siri Jodha Singh, and Jeffrey R. Key. "Atmospheric temperature variability in the Arctic as revealed in a TOVS data record." Polar Record 31, no. 177 (1995): 199–210. http://dx.doi.org/10.1017/s003224740001370x.

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AbstractThe Earth's high-latitude regions are of critical importance in many climate-change scenarios, but a time continuous, spatially complete, and well-calibrated record of tropospheric temperatures is needed in order to assess past and future climate changes. Studies of recently compiled upper-air data sets show no evidence of CO2-induced warming, but the spatial pattern of tropospheric temperature variability in the Arctic has not been thoroughly examined. This study analyzes a 108-month segment of the data record from the TIROS Operational Vertical Sounder (TOVS) aboard NOAA polar-orbiti

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Courcoux, N., and M. Schröder. "The CM SAF ATOVS data record: overview of methodology and evaluation of total column water and profiles of tropospheric humidity." Earth System Science Data 7, no. 2 (2015): 397–414. http://dx.doi.org/10.5194/essd-7-397-2015.

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Abstract. Recently, the reprocessed Advanced Television Infrared Observation Satellite (TIROS)-N Operational Vertical Sounder (ATOVS) tropospheric water vapour and temperature data record was released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM~SAF). ATOVS observations from infrared and microwave sounders onboard the National Oceanic and Atmospheric Agency (NOAA)-15–19 satellites and EUMETSAT's Meteorological Operational (Metop-A) satellite have been consistently reprocessed to generate 13 years (1999–2011) of global water vapour and temperature daily and monthly m

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Csiszar, I., та J. Sullivan. "Recalculated pre-launch saturation temperatures of the AVHRR 3.7 μ m sensors on board the TIROS-N to NOAA-14 satellites". International Journal of Remote Sensing 23, № 24 (2002): 5271–76. http://dx.doi.org/10.1080/0143116021000015816.

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Gerace, Aaron, Tania Kleynhans, Rehman Eon, and Matthew Montanaro. "Towards an Operational, Split Window-Derived Surface Temperature Product for the Thermal Infrared Sensors Onboard Landsat 8 and 9." Remote Sensing 12, no. 2 (2020): 224. http://dx.doi.org/10.3390/rs12020224.

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The split window technique has been used for over thirty years to derive surface temperatures of the Earth with image data collected from spaceborne sensors containing two thermal channels. The latest NASA/USGS Landsat satellites contain the Thermal Infrared Sensor (TIRS) instruments that acquire Earth data in two longwave infrared bands, as opposed to a single band with earlier Landsats. The United States Geological Survey (USGS) will soon begin releasing a surface temperature product for Landsats 4 through 8 based on the single spectral channel methodology. However, progress is being made to

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Sánchez-Aparicio, María, Paula Andrés-Anaya, Susana Del Pozo, and Susana Lagüela. "Retrieving Land Surface Temperature from Satellite Imagery with a Novel Combined Strategy." Remote Sensing 12, no. 2 (2020): 277. http://dx.doi.org/10.3390/rs12020277.

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Land surface temperature (LST) is a key parameter for land cover analysis and for many fields of study, for example, in agriculture, due to its relationship with the state of the crop in the evaluation of natural phenomena such as volcanic eruptions and geothermal areas, in desertification studies, or in the estimation of several variables of environmental interest such as evapotranspiration. The computation of LST from satellite imagery is possible due to the advances in thermal infrared technology and its implementation in artificial satellites. For example, Landsat 8 incorporates Operationa

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Calderón-Chaparro, Rafael Andrés, and German Vargas-Cuervo. "Determination of Hydrothermal Prospects in Paipa Geothermal Region (Boyacá, Colombia) Using Remote Sensing and Field Data." Earth Sciences Research Journal 23, no. 4 (2019): 265–82. http://dx.doi.org/10.15446/esrj.v23n4.77810.

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Geothermal resources (e.g. hot springs) are found with the help of field techniques, such as geological, geochemistry and geophysical. These techniques in some occasions are difficult to apply because of the limit access to the research area, rising operational costs and constrained spatially the exploration areas. The thermal infrared (TIR) remote sensing is an important tool for the exploration of geothermal resources, due to the low cost and high efficiency in the study of large geographic areas. The aim of this study is to use thermal imagery of satellite remote sensing and combined with g

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Jang, Jae-Cheol, and Kyung-Ae Park. "High-Resolution Sea Surface Temperature Retrieval from Landsat 8 OLI/TIRS Data at Coastal Regions." Remote Sensing 11, no. 22 (2019): 2687. http://dx.doi.org/10.3390/rs11222687.

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High-resolution sea surface temperature (SST) images are essential to study the highly variable small-scale oceanic phenomena in a coastal region. Most previous SST algorithms are focused on the low or medium resolution SST from the near polar orbiting or geostationary satellites. The Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) makes it possible to obtain high-resolution SST images of coastal regions. This study performed a matchup procedure between 276 Landsat 8 images and in-situ temperature measurements of buoys off the coast of the Korean Peninsula from April 2

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Zhu, Liuhua, Yansong Bao, George P. Petropoulos, et al. "Temperature and Humidity Profiles Retrieval in a Plain Area from Fengyun-3D/HIRAS Sensor Using a 1D-VAR Assimilation Scheme." Remote Sensing 12, no. 3 (2020): 435. http://dx.doi.org/10.3390/rs12030435.

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In this study, a one-dimensional variational (1D-VAR) retrieval system is proposed to simultaneously retrieve temperature and humidity atmospheric profiles under clear-sky conditions. Our technique requires observations from the Fengyun-3D Hyperspectral Infrared Radiation Atmospheric Sounding (HIRAS) satellite combined with the Weather Research and Forecast (WRF) model. In the method, the radiative transfer for the TIROS Operational Vertical Sounder (TOVS (RTTOV) model is also used as a forward observation operator. The accuracy of our approach was evaluated using as a case study the region of

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Norouzi, H., M. Temimi, W. B. Rossow, C. Pearl, M. Azarderakhsh, and R. Khanbilvardi. "The sensitivity of land emissivity estimates from AMSR-E at C and X bands to surface properties." Hydrology and Earth System Sciences Discussions 8, no. 3 (2011): 5667–99. http://dx.doi.org/10.5194/hessd-8-5667-2011.

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Abstract. Microwave observations at low frequencies exhibit more sensitivity to surface and subsurface properties with little interference from the atmosphere. The objective of this study is to develop a global land emissivity product using passive microwave observations from the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) and to investigate its sensitivity to land surface properties. The developed product complements existing land emissivity products from SSM/I and AMSU by adding land emissivity estimates at two lower frequencies, 6.9 and 10.65 GHz (C- and X-band, r

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Chen, Yong, Yong Han, Quanhua Liu, Paul Van Delst, and Fuzhong Weng. "Community Radiative Transfer Model for Stratospheric Sounding Unit." Journal of Atmospheric and Oceanic Technology 28, no. 6 (2011): 767–78. http://dx.doi.org/10.1175/2010jtecha1509.1.

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Abstract To better use the Stratospheric Sounding Unit (SSU) data for reanalysis and climate studies, issues associated with the fast radiative transfer (RT) model for SSU have recently been revisited and the results have been implemented into the Community Radiative Transfer Model version 2. This study revealed that the spectral resolution for the sensor’s spectral response functions (SRFs) calculations is very important, especially for channel 3. A low spectral resolution SRF results, on average, in 0.6-K brightness temperature (BT) errors for that channel. The variations of the SRFs due to

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Norouzi, H., M. Temimi, W. B. Rossow, C. Pearl, M. Azarderakhsh, and R. Khanbilvardi. "The sensitivity of land emissivity estimates from AMSR-E at C and X bands to surface properties." Hydrology and Earth System Sciences 15, no. 11 (2011): 3577–89. http://dx.doi.org/10.5194/hess-15-3577-2011.

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Abstract. Microwave observations at low frequencies exhibit more sensitivity to surface and subsurface properties with little interference from the atmosphere. The objective of this study is to develop a global land emissivity product using passive microwave observations from the Advanced Microwave Scanning Radiometer – Earth Observing System (AMSR-E) and to investigate its sensitivity to land surface properties. The developed product complements existing land emissivity products from SSM/I and AMSU by adding land emissivity estimates at two lower frequencies, 6.9 and 10.65 GHz (C- and X-band,

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13

Liu, Mengdi, Xiaobin Yin, Qing Xu, Yuxiang Chen, and Bowen Wang. "Monitoring of Fine-Scale Warm Drain-Off Water from Nuclear Power Stations in the Daya Bay Based on Landsat 8 Data." Remote Sensing 12, no. 4 (2020): 627. http://dx.doi.org/10.3390/rs12040627.

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Monitoring the drain-off water from nuclear power stations by high-resolution remote sensing satellites is of great significance for ensuring the safe operation of nuclear power stations and monitoring environmental changes. In order to select the optimal algorithm for Landsat 8 Thermal Infrared Sensor (TIRS) data to monitor warm drain-off water from the Daya Bay Nuclear Power Station (DNPS) and the Ling Ao Nuclear Power Station (LNPS) located on the southern coast of China, this study applies the edge detection method to remove stripes and produces estimates of four Sea Surface Temperature (S

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Chen, Wen, Rachel T. Pinker, Gerardo Rivera, and Simon Hook. "Diurnal Variability of Surface Temperature over Lakes: Case Study for Lake Huron." Atmosphere 12, no. 2 (2021): 252. http://dx.doi.org/10.3390/atmos12020252.

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The significance of the diurnal variability of Lake Surface Temperature (LST) has been recognized; yet, its magnitude in terms of spatial and temporal variability is not well known. Attempts have been made to derive such information from satellites at a high spatial resolution; however, most have been made from polar orbiting satellites that sample only twice per day. We have developed an approach to derive such information from geostationary satellites at an hourly time scale and at a spatial resolution of about 5 km. The approach to derive LST uses the Radiative Transfer for TIROS Operationa

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15

HAYES, L. "Review Article The current use of TIROS-N series of meteorological satellites for land-cover studies." International Journal of Remote Sensing 6, no. 1 (1985): 35–45. http://dx.doi.org/10.1080/01431168508948422.

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Chedin, A., N. A. Scott, N. Husson, J. F. Flobert, C. Levy, and P. Moine. "Satellite meteorology and atmospheric spectroscopy: Recent progress in Earth remote sensing from the satellites of the Tiros-N series." Journal of Quantitative Spectroscopy and Radiative Transfer 40, no. 3 (1988): 257–73. http://dx.doi.org/10.1016/0022-4073(88)90119-7.

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17

Chaboureau, J. P., and C. Claud. "Mediterranean cloud system variability inferred from satellite observations." Advances in Geosciences 7 (March 14, 2006): 243–46. http://dx.doi.org/10.5194/adgeo-7-243-2006.

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Abstract. The variability of Mediterranean cloud systems is investigated using 8.5 years (from January 1987 to June 1995) of TIROS-N Operational Vertical Sounder (TOVS) observations acquired aboard the National Oceanic and Atmospheric Administration (NOAA) series of operational polar satellites. Cloud systems and troughs are detected using retrievals of cloud top pressure (CTP) and temperature of the lower stratosphere (TLS). Cloud systems have a typical size of a few hundred kilometres with a larger occurrence between March and October. The largest cloud systems occur preferentially in May an

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18

Masina, Marinella, Alessandro Lambertini, Irene Daprà, Emanuele Mandanici, and Alberto Lamberti. "Remote Sensing Analysis of Surface Temperature from Heterogeneous Data in a Maize Field and Related Water Stress." Remote Sensing 12, no. 15 (2020): 2506. http://dx.doi.org/10.3390/rs12152506.

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Precision agriculture aims at optimizing crop production by adapting management actions to real needs and requires that a reliable and extensive description of soil and crop conditions is available, that multispectral satellite images can provide. The purpose of the present study, based on activities carried out in 2019 on an agricultural area north of Ravenna (Italy) within the project LIFE AGROWETLANDS II, is to evaluate the potentials and limitations of freely available satellite thermal images for the identification of water stress conditions and the optimization of irrigation management p

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Chedin, A., N. A. Scott, C. Wahiche, and P. Moulinier. "The Improved Initialization Inversion Method: A High Resolution Physical Method for Temperature Retrievals from Satellites of the TIROS-N Series." Journal of Climate and Applied Meteorology 24, no. 2 (1985): 128–43. http://dx.doi.org/10.1175/1520-0450(1985)024<0128:tiiima>2.0.co;2.

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20

Maltese, Antonino, Claudia Pipitone, Gino Dardanelli, Fulvio Capodici, and Jan-Peter Muller. "Toward a Comprehensive Dam Monitoring: On-Site and Remote-Retrieved Forcing Factors and Resulting Displacements (GNSS and PS–InSAR)." Remote Sensing 13, no. 8 (2021): 1543. http://dx.doi.org/10.3390/rs13081543.

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Many factors can influence the displacements of a dam, including water level variability and environmental temperatures, in addition to the dam composition. In this work, optical-based classification, thermal diachronic analysis, and a quasi-PS (Persistent Scatter) Interferometric SAR technique have been applied to determine both forcing factors and resulting displacements of the crest of the Castello dam (South Italy) over a one-year time period. The dataset includes Sentinel-1A images acquired in Interferometric Wide swath mode using the Terrain Observation with Progressive Scans SAR (TOPSAR

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Freitas, Sandra C., Isabel F. Trigo, João Macedo, Carla Barroso, Ricardo Silva, and Rui Perdigão. "Land surface temperature from multiple geostationary satellites." International Journal of Remote Sensing 34, no. 9-10 (2012): 3051–68. http://dx.doi.org/10.1080/01431161.2012.716925.

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22

Qu, Meng, Xiaoping Pang, Xi Zhao, Jinlun Zhang, Qing Ji, and Pei Fan. "Estimation of turbulent heat flux over leads using satellite thermal images." Cryosphere 13, no. 6 (2019): 1565–82. http://dx.doi.org/10.5194/tc-13-1565-2019.

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Abstract. Sea ice leads are an important feature in pack ice in the Arctic. Even covered by thin ice, leads can still serve as prime windows for heat exchange between the atmosphere and the ocean, especially in the winter. Lead geometry and distribution in the Arctic have been studied using optical and microwave remote sensing data, but turbulent heat flux over leads has only been measured on-site during a few special expeditions. In this study, we derive turbulent heat flux through leads at different scales using a combination of surface temperature and lead distribution from remote sensing i

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Gomes, Daniel da Silva, Sabrina Kelly dos Santos, João Henrique Constantino Sales Silva, Teófilo de Medeiros Santos, Ermerson de Vasconcelos Silva, and Alex da Silva Barbosa. "CO2flux e temperatura da superfície edáfica em áreas de caatinga." Revista Brasileira de Geografia Física 14, no. 4 (2021): 1898–908. http://dx.doi.org/10.26848/rbgf.v14.4.p1898-1908.

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The changes that occur in the Caatinga vegetation cover alter the incidence of solar radiation at the surface-atmosphere interface. To monitor CO2 flows, through geotechnologies, they appear as an alternative or remote sensing. Thus, the objective of this work was to determine the carbon sequestration and the surface temperature in caatinga areas in the face of seasonal variations using data from the Landsat 8 satellite OLI and TIRS sensors. The study was carried out with a scene referring to the dry season and another referring to the rainy season, in two areas, one with preserved Caatinga ve

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Januar, Tri Wandi, Tang-Huang Lin, Chih-Yuan Huang, and Kuo-En Chang. "Modifying an Image Fusion Approach for High Spatiotemporal LST Retrieval in Surface Dryness and Evapotranspiration Estimations." Remote Sensing 12, no. 3 (2020): 498. http://dx.doi.org/10.3390/rs12030498.

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Thermal infrared (TIR) satellite images are generally employed to retrieve land surface temperature (LST) data in remote sensing. LST data have been widely used in evapotranspiration (ET) estimation based on satellite observations over broad regions, as well as the surface dryness associated with vegetation index. Landsat-8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) can provide LST data with a 30-m spatial resolution. However, rapid changes in environmental factors, such as temperature, humidity, wind speed, and soil moisture, will affect the dynamics of ET. Therefore, ET

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Courcoux, N., and M. Schröder. "The CM SAF ATOVS tropospheric water vapour and temperature data record: overview of methodology and evaluation." Earth System Science Data Discussions 8, no. 1 (2015): 127–71. http://dx.doi.org/10.5194/essdd-8-127-2015.

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Abstract. Recently, the reprocessed Advanced Television Infrared Observation Satellite (TIROS)-N Operational Vertical Sounder (ATOVS) tropospheric water vapour and temperature data record has been released by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Satellite Application Facility on Climate Monitoring (CM SAF). ATOVS observations from the National Oceanic and Atmospheric Agency (NOAA)-15 through NOAA-19 and EUMETSAT's Meteorological operational (Metop-A) satellites have been consistently reprocessed to generate 13 years (1999–2011) of global water

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Silvestri, Malvina, Vito Romaniello, Simon Hook, Massimo Musacchio, Sergio Teggi, and Maria Fabrizia Buongiorno. "First Comparisons of Surface Temperature Estimations between ECOSTRESS, ASTER and Landsat 8 over Italian Volcanic and Geothermal Areas." Remote Sensing 12, no. 1 (2020): 184. http://dx.doi.org/10.3390/rs12010184.

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The ECO System Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) is a new space mission developed by NASA-JPL which launched on July 2018. It includes a multispectral thermal infrared radiometer that measures the radiances in five spectral channels between 8 and 12 μm. The primary goal of the mission is to study how plants use water by measuring their temperature from the vantage point of the International Space Station. However, as ECOSTRESS retrieves the surface temperature, the data can be used to measure other heat-related phenomena, such as heat waves, volcanic eruptio

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Bates, John J., and William L. Smith. "Sea surface temperature: Observations from geostationary satellites." Journal of Geophysical Research 90, no. C6 (1985): 11609. http://dx.doi.org/10.1029/jc090ic06p11609.

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PEDERSEN, JAN-PETTER. "Ocean surface temperature- and colour studies from satellites." Polar Research 8, no. 1 (1990): 3–9. http://dx.doi.org/10.1111/j.1751-8369.1990.tb00368.x.

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J. L., Moreira,, and Amorim, M. C. C. T. "Spatial variability and frequency of surface heat island in a small Brazilian city with continental tropical climate." European Journal of Climate Change 2, no. 2 (2020): 01–10. http://dx.doi.org/10.34154/2020-ejcc-0202-01-10/euraass.

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Land surface temperature (LST) is one variable in the earth-atmosphere interactive system. Temperatures are naturally high in tropical environments under continental influence. In Brazil, the problem of high temperature is intensified by the urbanization process, which is characterized by vegetation removal, concentration of buildings, and the use of building materials unfavorable to the climate in the tropics. Therefore, in this article, we analyze the spatial variability and the frequency of the surface temperature during the dry and rainy seasons in Penápolis, a small population city in the

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Ostrowska, Mirosława, Mirosław Darecki, Adam Krężel, Dariusz Ficek, and Kazimierz Furmańczyk. "Practical Applicability and Preliminary Results of the Baltic Environmental Satellite Remote Sensing System (Satbałtyk)." Polish Maritime Research 22, no. 3 (2015): 43–49. http://dx.doi.org/10.1515/pomr-2015-0055.

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Abstract The SatBałtyk (Satellite Monitoring of the Baltic Sea Environment) project is being realized in Poland by the SatBałtyk Scientific Consortium, specifically appointed for this purpose, which associates four scientific institutions: the Institute of Oceanology PAN in Sopot - coordinator of the project, the University of Gdańsk (Institute of Oceanography), the Pomeranian Academy in Słupsk (Institute of Physics) and the University of Szczecin (Institute of Marine Sciences). The project is aiming to prepare a technical infrastructure and set in motion operational procedures for the satelli

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Gansvind, I. N. "Small satellites in space activities." Geodesy and Cartography 956, no. 2 (2020): 50–56. http://dx.doi.org/10.22389/0016-7126-2020-956-2-50-56.

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Changes in space activities related to the practice of using small satellites are considered. The relatively low cost of development, production and launch in low Earth orbiting are explained due to transformation of small satellites into a mass product, available for using in the educational process, remote sensing, in meteorology, flight-testing new technologies, communication and internet distribution as well as space exploration. Small satellites constellations serve the need for systematic global imagery with minimal interval between observing any area of the Earth. Large constella- tions

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Guzinski, R., M. C. Anderson, W. P. Kustas, H. Nieto, and I. Sandholt. "Using a thermal-based two source energy balance model with time-differencing to estimate surface energy fluxes with day-night MODIS observations." Hydrology and Earth System Sciences Discussions 10, no. 2 (2013): 1897–941. http://dx.doi.org/10.5194/hessd-10-1897-2013.

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Abstract. The Dual Temperature Difference (DTD) model, introduced by Norman et al. (2000), uses a two source energy balance modelling scheme driven by remotely sensed observations of diurnal changes in land surface temperature (LST) to estimate surface energy fluxes. By using a time differential temperature measurement as input, the approach reduces model sensitivity to errors in absolute temperature retrieval. The original formulation of the DTD required an early morning LST observation (approximately 1 h after sunrise) when surface fluxes are minimal, limiting application to data provided by

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Levelt, P. F., M. A. Allaart, and H. M. Kelder. "On the assimilation of total-ozone satellite data." Annales Geophysicae 14, no. 11 (1996): 1111–18. http://dx.doi.org/10.1007/s00585-996-1111-6.

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Abstract. A two-dimensional model for advection and data assimilation of total-ozone data has been developed. The Assimilation Model KNMI (AMK) is a global model describing the transport of the column amounts of ozone, by a wind field at a single pressure level, assuming that total ozone behaves as a passive tracer. In this study, ozone column amounts measured by the TIROS Operational Vertical Sounder (TOVS) instrument on the National Oceanic and Atmospheric Administration (NOAA) polar satellites and wind fields from the Meteorological Archive and Retrieval System (MARS) archives at ECMWF have

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Limbert, D. W. S., S. J. Morrison, C. B. Sear, P. Wadhams, and M. A. Rowe. "Pack-Ice Motion in the Weddell Sea in Relation to Weather Systems and Determination of a Weddell Sea Sea-Ice Budget." Annals of Glaciology 12 (1989): 104–12. http://dx.doi.org/10.1017/s0260305500007047.

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As part of the Winter Weddell Sea Project 1986 (WWSP 86), a buoy, transmitting via TIROS-N satellites to Service Argos, was inserted into an ice floe in the southern Weddell Sea. Operational U.K. Meteorological Office numerical surface-pressure analyses, which utilized the buoy’s measured values of air pressure and temperature, are used to assess the impact of weather systems on pack-ice movement. The motion of the buoy is shown to be related closely to the position of the circumpolar trough and to the tracks of depressions crossing the area. The tracks of this and other buoys deployed during

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Limbert, D. W. S., S. J. Morrison, C. B. Sear, P. Wadhams, and M. A. Rowe. "Pack-Ice Motion in the Weddell Sea in Relation to Weather Systems and Determination of a Weddell Sea Sea-Ice Budget." Annals of Glaciology 12 (1989): 104–12. http://dx.doi.org/10.3189/s0260305500007047.

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As part of the Winter Weddell Sea Project 1986 (WWSP 86), a buoy, transmitting via TIROS-N satellites to Service Argos, was inserted into an ice floe in the southern Weddell Sea. Operational U.K. Meteorological Office numerical surface-pressure analyses, which utilized the buoy’s measured values of air pressure and temperature, are used to assess the impact of weather systems on pack-ice movement. The motion of the buoy is shown to be related closely to the position of the circumpolar trough and to the tracks of depressions crossing the area. The tracks of this and other buoys deployed during

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Sobrino, José Antonio, Yves Julien, and Susana García-Monteiro. "Surface Temperature of the Planet Earth from Satellite Data." Remote Sensing 12, no. 2 (2020): 218. http://dx.doi.org/10.3390/rs12020218.

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The Intergovernmental Panel on Climate Change regular scientific assessments of global warming is based on measurements of air temperature from weather stations, buoys or ships. More specifically, air temperature annual means are estimated from their integration into climate models, with some areas (Africa, Antarctica, seas) being clearly underrepresented. Present satellites allow estimation of surface temperature for a full coverage of our planet with a sub-daily revisit frequency and kilometric resolution. In this work, a simple methodology is developed that allows estimating the surface tem

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Anderson, M. C., W. P. Kustas, J. M. Norman, et al. "Mapping daily evapotranspiration at field to global scales using geostationary and polar orbiting satellite imagery." Hydrology and Earth System Sciences Discussions 7, no. 4 (2010): 5957–90. http://dx.doi.org/10.5194/hessd-7-5957-2010.

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Abstract. Thermal infrared (TIR) remote sensing of land-surface temperature (LST) provides valuable information about the sub-surface moisture status required for estimating evapotranspiration (ET) and detecting the onset and severity of drought. While empirical indices measuring anomalies in LST and vegetation amount (e.g., as quantified by the Normalized Difference Vegetation Index; NDVI) have demonstrated utility in monitoring ET and drought conditions over large areas, they may provide ambiguous results when other factors (soil moisture, advection, air temperature) are affecting plant stre

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Sun, D., M. Kafatos, R. T. Pinker, and D. R. Easterling. "Seasonal Variations in Diurnal Temperature Range From Satellites and Surface Observations." IEEE Transactions on Geoscience and Remote Sensing 44, no. 10 (2006): 2779–85. http://dx.doi.org/10.1109/tgrs.2006.871895.

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Borde, Carranza, Hautecoeur, and Barbieux. "Winds of Change for Future Operational AMV at EUMETSAT." Remote Sensing 11, no. 18 (2019): 2111. http://dx.doi.org/10.3390/rs11182111.

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EUMETSAT, the European Organization for the Exploitation of Meteorological Satellites, is one of the key contributors to global atmospheric motion vector (AMV) production around the world. Its current contribution includes geostationary satellites at 0.0 and 41.5 degrees east, and several products extracted from the Metop low-orbit satellites. These last ones mainly cover high-latitude regions completing the observations from the geostationary ring. In the upcoming years, EUMETSAT will launch a new generation of geostationary and low-orbit satellites. The imager instruments Flexible Combined I

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Pinker, Rachel T., Yingtao Ma, Wen Chen, et al. "Towards a Unified and Coherent Land Surface Temperature Earth System Data Record from Geostationary Satellites." Remote Sensing 11, no. 12 (2019): 1399. http://dx.doi.org/10.3390/rs11121399.

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Our objective is to develop a framework for deriving long term, consistent Land Surface Temperatures (LSTs) from Geostationary (GEO) satellites that is able to account for satellite sensor updates. Specifically, we use the Radiative Transfer for TOVS (RTTOV) model driven with Modern-Era Retrospective Analysis for Research and Applications (MERRA-2) information and Combined ASTER and MODIS Emissivity over Land (CAMEL) products. We discuss the results from our comparison of the Geostationary Operational Environmental Satellite East (GOES-E) with the MODIS Land Surface Temperature and Emissivity

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Kirk-Davidoff, Daniel B., Richard M. Goody, and James G. Anderson. "Analysis of Sampling Errors for Climate Monitoring Satellites." Journal of Climate 18, no. 6 (2005): 810–22. http://dx.doi.org/10.1175/jcli-3301.1.

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Abstract Sampling retrievals of high-accuracy first-moment statistics constitute a central concern for climate research. Considered here is the important case of brightness temperature retrievals from a selection of possible orbits. Three-hourly global satellite brightness temperature data are used to predict the sampling error of monthly to annual mean brightness temperature retrieved by one or more satellites in low earth orbits. A true polar orbit is found to offer substantial advantages over a sun-synchronous orbit in the retrieval of annual mean brightness temperature, since the rotation

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Тегза, І. М., and І. В. Швалагін. "Nonlinear temperature profile in troposphere and accuracy of determination of distance to artificial Earth satellites." Scientific Herald of Uzhhorod University.Series Physics 4 (November 25, 1999): 139–44. http://dx.doi.org/10.24144/2415-8038.1999.4.139-144.

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R, Schneider dos Santos, and Gasparrini A. "Comparison of Machine Learning Techniques for Spatio-Temporal Air Temperature Modelling using Earth Observation Satellites." Environmental Epidemiology 3 (October 2019): 353. http://dx.doi.org/10.1097/01.ee9.0000609896.90483.c7.

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Bouillon, Marie, Sarah Safieddine, Juliette Hadji-Lazaro, et al. "Ten-Year Assessment of IASI Radiance and Temperature." Remote Sensing 12, no. 15 (2020): 2393. http://dx.doi.org/10.3390/rs12152393.

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The Infrared Atmospheric Sounding Interferometers (IASIs) are three instruments flying on board the Metop satellites, launched in 2006 (IASI-A), 2012 (IASI-B), and 2018 (IASI-C). They measure infrared radiance from the Earth and atmosphere system, from which the atmospheric composition and temperature can be retrieved using dedicated algorithms, forming the Level 2 (L2) product. The operational near real-time processing of IASI data is conducted by the EUropean organisation for the exploitation of METeorological SATellites (EUMETSAT). It has improved over time, but due to IASI’s large data flo

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Sheik Mujabar, P. "Spatial-temporal variation of land surface temperature of Jubail Industrial City, Saudi Arabia due to seasonal effect by using Thermal Infrared Remote Sensor (TIRS) satellite data." Journal of African Earth Sciences 155 (July 2019): 54–63. http://dx.doi.org/10.1016/j.jafrearsci.2019.03.008.

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Saux Picart, Stéphane, Anne Marsouin, Gérard Legendre, et al. "A Sea Surface Temperature data record (2004–2012) from Meteosat Second Generation satellites." Remote Sensing of Environment 240 (April 2020): 111687. http://dx.doi.org/10.1016/j.rse.2020.111687.

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Chatterjee, R. S., Narendra Singh, Shailaja Thapa, Dravneeta Sharma, and Dheeraj Kumar. "Retrieval of land surface temperature (LST) from landsat TM6 and TIRS data by single channel radiative transfer algorithm using satellite and ground-based inputs." International Journal of Applied Earth Observation and Geoinformation 58 (June 2017): 264–77. http://dx.doi.org/10.1016/j.jag.2017.02.017.

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Lutz, Hans J., William L. Smith, and Ehrhard Raschke. "A note on the improvement of TIROS operational vertical sounder temperature retrievals above the Antarctic snow and ice fields." Journal of Geophysical Research 95, no. D8 (1990): 11747. http://dx.doi.org/10.1029/jd095id08p11747.

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Pérez Díaz, C. L., T. Lakhankar, P. Romanov, J. Muñoz, R. Khanbilvardi, and Y. Yu. "Near–surface air temperature and snow skin temperature comparison from CREST-SAFE station data with MODIS land surface temperature data." Hydrology and Earth System Sciences Discussions 12, no. 8 (2015): 7665–87. http://dx.doi.org/10.5194/hessd-12-7665-2015.

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Abstract. Land Surface Temperature (LST) is a key variable (commonly studied to understand the hydrological cycle) that helps drive the energy balance and water exchange between the Earth's surface and its atmosphere. One observable constituent of much importance in the land surface water balance model is snow. Snow cover plays a critical role in the regional to global scale hydrological cycle because rain-on-snow with warm air temperatures accelerates rapid snow-melt, which is responsible for the majority of the spring floods. Accurate information on near-surface air temperature (T-air) and s

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Barbieux, Kévin, Olivier Hautecoeur, Maurizio De Bartolomei, Manuel Carranza, and Régis Borde. "The Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSAT." Remote Sensing 13, no. 9 (2021): 1702. http://dx.doi.org/10.3390/rs13091702.

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Atmospheric Motion Vectors (AMVs) are an important input to many Numerical Weather Prediction (NWP) models. EUMETSAT derives AMVs from several of its orbiting satellites, including the geostationary satellites (Meteosat), and its Low-Earth Orbit (LEO) satellites. The algorithm extracting the AMVs uses pairs or triplets of images, and tracks the motion of clouds or water vapour features from one image to another. Currently, EUMETSAT LEO satellite AMVs are retrieved from georeferenced images from the Advanced Very-High-Resolution Radiometer (AVHRR) on board the Metop satellites. EUMETSAT is curr

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