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Journal articles on the topic 'Air surface temperature'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

Vitázek, I., and J. Tirol. "Relation between surface temperature and dryer operation." Research in Agricultural Engineering 54, No. 4 (2008): 176–82. http://dx.doi.org/10.17221/14/2008-rae.

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The most significant way of grains conservation is heat drying. This technological process is regarded as a part of the production process with such commodities as grain maize, grain sunflower, rape, and other oil plants. The paper presents partial results of a check measurement on MC 3180 dryer with descending vertical layer in drying grain maize. On the basis of the evaluation of the measured parameters of the drying medium and the analysis of thermovision camera screenshots together with applying the knowledge of the mechanics of wet air, insufficiencies in the dryer operation were revealed

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2

Eliasson, Ingegärd. "Urban Geometry, surface temperature and air temperature." Energy and Buildings 15, no. 1-2 (1990): 141–45. http://dx.doi.org/10.1016/0378-7788(90)90125-3.

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3

Mutiibwa, Denis, Scotty Strachan, and Thomas Albright. "Land Surface Temperature and Surface Air Temperature in Complex Terrain." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8, no. 10 (2015): 4762–74. http://dx.doi.org/10.1109/jstars.2015.2468594.

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4

Litschmann, Tomáš, and Tomáš Středa. "Surface temperature of plant tissues. Which method of air temperature measurement fits best?" Contributions to Geophysics and Geodesy 49, no. 1 (2019): 11–23. http://dx.doi.org/10.2478/congeo-2019-0002.

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Abstract Climate change is contributing to an increased risk of flower damage by late spring frosts. Monitoring flower temperature is critical for the timely start of frost protection systems. However, there are many weak points that complicate the use of this method. The aims of this study were to: i) find the method of air temperature measurement with the best relationship to the surface temperature of plant tissues and ii) quantify the differences between plant tissues surface temperature and ambient temperature during different weather situations. The surface temperature of plant tissues (

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5

Faisol, Arif, Indarto Indarto, Elida Novita, and Budiyono Budiyono. "Utilization of MODIS Surface Reflectance to Generate Air Temperature Information in East Java - Indonesia." Geoplanning: Journal of Geomatics and Planning 7, no. 1 (2020): 37–46. http://dx.doi.org/10.14710/geoplanning.7.1.37-46.

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Ambient air temperature is main variable in climatological and hydrological analysis, however limited number of meteorological stations in Indonesia was becoming a problem to provide air temperature data for large areas. The objective of this study is to generate air temparature using relationship of land surface temperature and vegetation index. A total of 6 climatological station and 84 MODIS Images for three years (2015 to 2017) were used for the analysis. Research methods include: image georeferencing, band extraction from modis, derivation of NDVI, gererating ambient air temperature, cali

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6

Gruza, G. V., and E. Ya Ran’kova. "Dynamic normals of surface air temperature." Russian Meteorology and Hydrology 37, no. 11-12 (2012): 717–27. http://dx.doi.org/10.3103/s1068373912110052.

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7

Palumbo, A., and A. Mazzarella. "Solar cycle in surface air temperature." Il Nuovo Cimento C 9, no. 3 (1986): 725–28. http://dx.doi.org/10.1007/bf02508400.

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8

Adolph, Alden C., Mary R. Albert, and Dorothy K. Hall. "Near-surface temperature inversion during summer at Summit, Greenland, and its relation to MODIS-derived surface temperatures." Cryosphere 12, no. 3 (2018): 907–20. http://dx.doi.org/10.5194/tc-12-907-2018.

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Abstract. As rapid warming of the Arctic occurs, it is imperative that climate indicators such as temperature be monitored over large areas to understand and predict the effects of climate changes. Temperatures are traditionally tracked using in situ 2 m air temperatures and can also be assessed using remote sensing techniques. Remote sensing is especially valuable over the Greenland Ice Sheet, where few ground-based air temperature measurements exist. Because of the presence of surface-based temperature inversions in ice-covered areas, differences between 2 m air temperature and the temperatu

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9

Joudi, Ali, Mathias Cehlin, Harald Svedung, Mats Rönnelid, and Bahram Moshfegh. "Numerical and experimental investigation of the influence of infrared reflective interior surfaces on building temperature distributions." Indoor and Built Environment 26, no. 3 (2016): 355–67. http://dx.doi.org/10.1177/1420326x15609966.

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Radiative properties of interior surfaces can affect not only the building heat flux but also the indoor environment, the latter of which has not been thoroughly investigated. The aim of this study is to analyse the effect of surface emissivity on indoor air and surface temperature distributions in a test cabin with reflective interior surfaces. This was done by comparing experimental and simulation data of the test cabin with that of a normal cabin. This study employs transient computational fluid dynamics (CFD) using re-normalisation group (RNG) k– ε model, surface-to-surface radiation model

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10

Rayner, Nick A., Renate Auchmann, Janette Bessembinder, et al. "The EUSTACE Project: Delivering Global, Daily Information on Surface Air Temperature." Bulletin of the American Meteorological Society 101, no. 11 (2020): E1924—E1947. http://dx.doi.org/10.1175/bams-d-19-0095.1.

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AbstractDay-to-day variations in surface air temperature affect society in many ways, but daily surface air temperature measurements are not available everywhere. Therefore, a global daily picture cannot be achieved with measurements made in situ alone and needs to incorporate estimates from satellite retrievals. This article presents the science developed in the EU Horizon 2020–funded EUSTACE project (2015–19, www.eustaceproject.org) to produce global and European multidecadal ensembles of daily analyses of surface air temperature complementary to those from dynamical reanalyses, integrating

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11

Gardner, Alex S., Martin J. Sharp, Roy M. Koerner, et al. "Near-Surface Temperature Lapse Rates over Arctic Glaciers and Their Implications for Temperature Downscaling." Journal of Climate 22, no. 16 (2009): 4281–98. http://dx.doi.org/10.1175/2009jcli2845.1.

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Abstract Distributed glacier surface melt models are often forced using air temperature fields that are either downscaled from climate models or reanalysis, or extrapolated from station measurements. Typically, the downscaling and/or extrapolation are performed using a constant temperature lapse rate, which is often taken to be the free-air moist adiabatic lapse rate (MALR: 6°–7°C km−1). To explore the validity of this approach, the authors examined altitudinal gradients in daily mean air temperature along six transects across four glaciers in the Canadian high Arctic. The dataset includes ove

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12

Lin, X., K. G. Hubbard, and C. B. Baker. "Surface air temperature records biased by snow-covered surface." International Journal of Climatology 25, no. 9 (2005): 1223–36. http://dx.doi.org/10.1002/joc.1184.

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13

Wang, Li Wen, and Dan Dan Xu. "Computation and Analysis of Frost Formation on Ground Aircraft." Advanced Materials Research 490-495 (March 2012): 166–70. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.166.

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Aircraft ground icing can result in decreasing the stability of the aircraft at or shortly after take off.. A theoretical model for frost formation by water vapor on aircraft in atmospheric air has been presented in this study. Frost surface temperature and frost thickness can be obtained by the model. Effects of aircraft surface temperatures and air conditions, such as aircraft surface temperature, air temperature and air velocity on the frost surface temperature and frost thickness can be evaluated by using this model. It revealed that the surface temperature increases with the surface tempe

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14

Eensaar, Agu. "Analysis of the Spatio-Temporal Variability of Air Temperature Near the Ground Surface in the Central Baltic Area from 2005 to 2019." Atmosphere 12, no. 1 (2020): 60. http://dx.doi.org/10.3390/atmos12010060.

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In this study, we analyzed the changes in the average daily, monthly, seasonal, and annual surface air temperatures based on the temperature data obtained from seven stations (1 January 2005–31 December 2019; 15 years) belonging to the central Baltic area (Stockholm, Tallinn, Helsinki, Narva, Pärnu, Tartu, and Võru). The statistical analysis revealed that there was a strong correlation between the daily average surface air temperature of the studied cities (range: 0.95–0.99). We analyzed the frequency distribution of the average surface air temperatures in addition to the Kruskal–Wallis and Du

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15

Coppernoll-Houston, Dana, and Christopher Potter. "Field Measurements and Satellite Remote Sensing of Daily Soil Surface Temperature Variations in the Lower Colorado Desert of California." Climate 6, no. 4 (2018): 94. http://dx.doi.org/10.3390/cli6040094.

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The purpose of this study was to better understand the relationships between diurnal variations of air temperature measured hourly at the soil surface, compared with the thermal infra-red (TIR) emission properties of soil surfaces located in the Lower Colorado Desert of California, eastern Riverside County. Fifty air temperature loggers were deployed in January of 2017 on wooden stakes that were driven into the sandy or rocky desert soils at both Ford Dry Lake and the southern McCoy Mountains wash. The land surface temperature (LST) derived from Landsat satellite images was compared to measure

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16

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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17

Thapa, A., A. Silwal, S. P. Gautam, C. K. Nepal, S. Bhattarai, and D. Timsina. "Surface air temperature trends in Kathmandu Valley for 2011-2017." BIBECHANA 18, no. 2 (2021): 95–104. http://dx.doi.org/10.3126/bibechana.v18i2.29495.

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In this study, we reviewed the maximum and minimum temperature trends of the Kathmandu valley over the period of 2011-2017. In addition, the average monthly temperature trends were studied annually for the same period, with the data made available from the Department of Hydrology and Meteorology (DHM) of Nepal. The annual temperature trended in the same direction, with winter temperatures being lower and summer temperatures being higher. The annual average minimum and maximum air temperature trends were found to be slightly rising at 0.097˚C/year and 0.04˚C/year, respectively. The mean air tem

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18

Jackson, Darren L., and Gary A. Wick. "Near-Surface Air Temperature Retrieval Derived from AMSU-A and Sea Surface Temperature Observations." Journal of Atmospheric and Oceanic Technology 27, no. 10 (2010): 1769–76. http://dx.doi.org/10.1175/2010jtecha1414.1.

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Abstract A 10-m air temperature (Ta) retrieval using Advanced Microwave Sounding Unit A (AMSU-A) and satellite-derived sea surface temperature (Ts) observations is presented. The multivariable linear regression retrieval uses AMSU-A brightness temperatures from the 52.8- and 53.6-GHz channels and satellite-derived daily sea surface temperatures to determine Ta. A regression error of 0.83°C using 841 matched satellite and ship observations demonstrates a high-quality fit of the satellite observations with in situ Ta. Validation of the retrieval using independent International Comprehensive Ocea

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19

Huang, Anning, Yerubandi R. Rao, and Weitao Zhang. "On Recent Trends in Atmospheric and Limnological Variables in Lake Ontario." Journal of Climate 25, no. 17 (2012): 5807–16. http://dx.doi.org/10.1175/jcli-d-11-00495.1.

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Abstract The surface air and water temperatures increased at all seasonal and annual time scales during the last 40 yr in Lake Ontario. The annual mean air and surface water temperatures have increased by 1.43° ±0.39° and 1.26° ±0.32°C, respectively, over 1970–2009. The air temperature increased at a faster rate than the surface water temperature in winter and autumn, whereas in spring and summer the surface water temperature warmed faster than the air temperature. The length of summer stratified season has increased by 12 ± 2 days since the early 1970s due to the increase in water temperature

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20

Ji, Fei, Zhaohua Wu, Jianping Huang, and Eric P. Chassignet. "Evolution of land surface air temperature trend." Nature Climate Change 4, no. 6 (2014): 462–66. http://dx.doi.org/10.1038/nclimate2223.

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21

Hansen, James, and Sergej Lebedeff. "Global trends of measured surface air temperature." Journal of Geophysical Research 92, no. D11 (1987): 13345. http://dx.doi.org/10.1029/jd092id11p13345.

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22

Schult, Colin. "Independent observations corroborate surface air temperature record." Eos, Transactions American Geophysical Union 94, no. 35 (2013): 312. http://dx.doi.org/10.1002/2013eo350012.

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23

Koenig, Lora S., and Dorothy K. Hall. "Comparison of satellite, thermochron and air temperatures at Summit, Greenland, during the winter of 2008/09." Journal of Glaciology 56, no. 198 (2010): 735–41. http://dx.doi.org/10.3189/002214310793146269.

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AbstractCurrent trends show a rise in Arctic surface and air temperatures, including over the Greenland ice sheet where rising temperatures will contribute to increased sea-level rise through increased melt. We aim to establish the uncertainties in using satellite-derived surface temperature for measuring Arctic surface temperature, as satellite data are increasingly being used to assess temperature trends. To accomplish this, satellite-derived surface temperature, or land-surface temperature (LST), must be validated and limitations of the satellite data must be assessed quantitatively. During

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24

Raabe, Armin, Klaus Arnold, and Astrid Ziemann. "Near surface spatially averaged air temperature and wind speed determined by acoustic travel time tomography." Meteorologische Zeitschrift 10, no. 1 (2001): 61–70. http://dx.doi.org/10.1127/0941-2948/2001/0010-0061.

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25

Liu, Dongwei, C. S. B. Grimmond, Jianguo Tan, et al. "A New Model to Downscale Urban and Rural Surface and Air Temperatures Evaluated in Shanghai, China." Journal of Applied Meteorology and Climatology 57, no. 10 (2018): 2267–83. http://dx.doi.org/10.1175/jamc-d-17-0255.1.

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AbstractA simple model, the Surface Temperature and Near-Surface Air Temperature (at 2 m) Model (TsT2m), is developed to downscale numerical model output (such as from ECMWF) to obtain higher-temporal- and higher-spatial-resolution surface and near-surface air temperature. It is evaluated in Shanghai, China. Surface temperature (Ts) and near-surface air temperature (Ta) submodels account for variations in land cover and their different thermal properties, resulting in spatial variations of surface and air temperature. The net all-wave radiation parameterization (NARP) scheme is used to compute

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26

Gholamnia, Mehdi, Ali Darvishi Boloorani, Saeid Hamzeh, and Majid Kiavarz. "Diurnal Air Temperature Modeling Based on the Land Surface Temperature." Remote Sensing 9, no. 9 (2017): 915. http://dx.doi.org/10.3390/rs9090915.

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27

Shiflett, Sheri A., Liyin L. Liang, Steven M. Crum, Gudina L. Feyisa, Jun Wang, and G. Darrel Jenerette. "Variation in the urban vegetation, surface temperature, air temperature nexus." Science of The Total Environment 579 (February 2017): 495–505. http://dx.doi.org/10.1016/j.scitotenv.2016.11.069.

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28

Comrie, Andrew C., and Gregory J. McCabe. "Global air temperature variability independent of sea-surface temperature influences." Progress in Physical Geography: Earth and Environment 37, no. 1 (2012): 29–35. http://dx.doi.org/10.1177/0309133312460074.

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Mean global surface air temperature (SAT) and sea surface temperature (SST) display substantial variability on timescales ranging from annual to multi-decadal. We review the key recent literature on connections between global SAT and SST variability. Although individual ocean influences on SAT have been recognized, the combined contributions of worldwide SST variability on the global SAT signal have not been clearly identified in observed data. We analyze these relations using principal components of detrended SST, and find that removing the underlying combined annual, decadal, and multi-decad

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29

Kubota, Masahisa, and Akira Shikauchi. "Air temperature at ocean surface derived from surface-level humidity." Journal of Oceanography 51, no. 6 (1995): 619–34. http://dx.doi.org/10.1007/bf02235456.

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30

Eom, Ki-Cheol, Byung-Kook Lee, Young-Sook Kim, and Ho-Yong Eom. "Daily Changes in Red-Pepper Leaf Surface Temperature with Air and Soil Surface Temperatures." Korean Journal of Soil Science and Fertilizer 47, no. 5 (2014): 345–50. http://dx.doi.org/10.7745/kjssf.2014.47.5.345.

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31

Vogt, Jürgen V., Alain A. Viau, and France Paquet. "Mapping regional air temperature fields using satellite-derived surface skin temperatures." International Journal of Climatology 17, no. 14 (1997): 1559–79. http://dx.doi.org/10.1002/(sici)1097-0088(19971130)17:14<1559::aid-joc211>3.0.co;2-5.

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32

Zagorodnov, V., O. Nagornov, and L. G. Thompson. "Influence of air temperature on a glacier’s active-layer temperature." Annals of Glaciology 43 (2006): 285–91. http://dx.doi.org/10.3189/172756406781812203.

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AbstractSeasonal temperature variations occur in the glacier layer about 15–20 m below the surface, while at greater depths the glacier temperature depends on the long-term surface conditions. It is generally accepted that for glaciers without surface melting the temperature at 10 m depth (T10) is close to the mean annual air temperature at standard screen level (Ta), i.e. T10 =Ta. We found that this relationship is not valid for Ta above –17˚C and below –55˚C. The goal of our investigation is to find a better temperature transfer function (TTF) between Ta and temperature at the boundary of th

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33

Hermansson, Åke. "Simulation Model for Calculating Pavement Temperatures Including Maximum Temperature." Transportation Research Record: Journal of the Transportation Research Board 1699, no. 1 (2000): 134–41. http://dx.doi.org/10.3141/1699-19.

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A simulation model has been developed to calculate the temperatures of asphalt concrete during summer. Input data to the simulation model are hourly values for solar radiation, air temperature, and wind velocity. Longwave radiation incident to and outgoing from the pavement surface is calculated from the air and pavement surface temperatures, respectively. The portion of the incident shortwave radiation absorbed by the pavement surface is calculated from the albedo of the surface. By means of a finite difference approximation of the heat transfer equation, the temperatures are calculated under

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34

Kitoh, Akio. "Correlation between the Surface Air Temperature over Japan and the Global Sea Surface Temperature." Journal of the Meteorological Society of Japan. Ser. II 66, no. 6 (1988): 967–86. http://dx.doi.org/10.2151/jmsj1965.66.6_967.

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35

Qualls, Russell J., Wilfried Brutsaert, and William P. Kustas. "Near-surface air temperature as substitute for skin temperature in regional surface flux estimation." Journal of Hydrology 143, no. 3-4 (1993): 381–93. http://dx.doi.org/10.1016/0022-1694(93)90200-s.

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36

Shin, HyuSeok, Eunmi Chang, and Sungwook Hong. "Estimation of Near Surface Air Temperature Using MODIS Land Surface Temperature Data and Geostatistics." Journal of Korea Spatial Information Society 22, no. 1 (2014): 55–63. http://dx.doi.org/10.12672/ksis.2014.22.1.055.

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37

Wang, Li Wen, and Dan Dan Xu. "A Simple Frost Model for Calculation of the Frost Thickness over Ground Aircraft Surfaces." Applied Mechanics and Materials 121-126 (October 2011): 667–71. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.667.

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In this study, a simple model that describes frost formation over ground aircraft surfaces is presented. The model uses the data of the aircraft surface temperature, air temperature and air velocity to predict the frost thickness. The frost surface temperature and the frost thickness under different atmospheric conditions are investigated. The results indicate the frost thickness increases with the air velocity and the air temperature, decrease with the surface temperature. This model enables forecast of the frost formation over ground aircraft surface.

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38

Yusuf, Najib, Daniel Okoh, Ibrahim Musa, Samson Adedoja, and Rabia Said. "A Study of the Surface Air Temperature Variations in Nigeria." Open Atmospheric Science Journal 11, no. 1 (2017): 54–70. http://dx.doi.org/10.2174/1874282301711010054.

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Background: Simultaneous measurements of air temperature were carried out using automatic weather stations at 14 tropical locations in Nigeria. Diurnal variations were derived from the 5-minute update cycle initial data for the years ranging between 2007 and 2013. The temperature trends in Nigeria revealed a continuous variability that is seasonally dependent within any particular year considered. Method: The analysis was carried out using available data from the network and the results are presented with a focus to characterize the temperature variations at different locations in the country

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39

Reeves Eyre, J. E. Jack, and Xubin Zeng. "Evaluation of Greenland near surface air temperature datasets." Cryosphere 11, no. 4 (2017): 1591–605. http://dx.doi.org/10.5194/tc-11-1591-2017.

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Abstract. Near-surface air temperature (SAT) over Greenland has important effects on mass balance of the ice sheet, but it is unclear which SAT datasets are reliable in the region. Here extensive in situ SAT measurements ( ∼ 1400 station-years) are used to assess monthly mean SAT from seven global reanalysis datasets, five gridded SAT analyses, one satellite retrieval and three dynamically downscaled reanalyses. Strengths and weaknesses of these products are identified, and their biases are found to vary by season and glaciological regime. MERRA2 reanalysis overall performs best with mean abso

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40

Jones, P. D., S. C. B. Raper, R. S. Bradley, H. F. Diaz, P. M. Kellyo, and T. M. L. Wigley. "Northern Hemisphere Surface Air Temperature Variations: 1851–1984." Journal of Climate and Applied Meteorology 25, no. 2 (1986): 161–79. http://dx.doi.org/10.1175/1520-0450(1986)025<0161:nhsatv>2.0.co;2.

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41

Jones, P. D., S. C. B. Raper, and T. M. L. Wigley. "Southern Hemisphere Surface Air Temperature Variations: 1851–1984." Journal of Climate and Applied Meteorology 25, no. 9 (1986): 1213–30. http://dx.doi.org/10.1175/1520-0450(1986)025<1213:shsatv>2.0.co;2.

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42

Mahrt, L. "Variation of Surface Air Temperature in Complex Terrain." Journal of Applied Meteorology and Climatology 45, no. 11 (2006): 1481–93. http://dx.doi.org/10.1175/jam2419.1.

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Abstract Data from three micronetworks with eddy correlation data and three additional micronetworks without eddy correlation data are analyzed to study the spatial variability of surface air temperature in complex terrain. A simple similarity relationship is constructed to relate the spatial variation of air temperature along the slope to the thermal forcing and mixing. Mixing is not included in present empirical formulations of the surface air temperature distribution in complex terrain. The development of surface temperature gradients along the slope, resulting from surface heating or cooli

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43

Riddering, James P., and LLoyd P. Queen. "Estimating near-surface air temperature with NOAA AVHRR." Canadian Journal of Remote Sensing 32, no. 1 (2006): 33–43. http://dx.doi.org/10.5589/m06-004.

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44

Seppälä, A., C. E. Randall, M. A. Clilverd, E. Rozanov, and C. J. Rodger. "Geomagnetic activity and polar surface air temperature variability." Journal of Geophysical Research: Space Physics 114, A10 (2009): n/a. http://dx.doi.org/10.1029/2008ja014029.

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45

Kadioğlu, Mikdat. "Trends in surface air temperature data over Turkey." International Journal of Climatology 17, no. 5 (1997): 511–20. http://dx.doi.org/10.1002/(sici)1097-0088(199704)17:5<511::aid-joc130>3.0.co;2-0.

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46

Davy, Richard, and Igor Esau. "Surface air temperature variability in global climate models." Atmospheric Science Letters 15, no. 1 (2013): 13–20. http://dx.doi.org/10.1002/asl2.456.

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47

Ke, Fan. "Predicting Winter Surface Air Temperature in Northeast China." Atmospheric and Oceanic Science Letters 2, no. 1 (2009): 14–17. http://dx.doi.org/10.1080/16742834.2009.11446770.

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48

Yunus, F., N. K. Chang, F. J. Fakaruddin, M. K. Mat Adam, J. Jaafar, and Z. Mahmud. "Modelling of Surface Air Temperature Element in Malaysia." Development in Earth Science 3 (2015): 10. http://dx.doi.org/10.14355/des.2015.03.002.

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49

Zeng, Xubin, and Aihui Wang. "What is monthly mean land surface air temperature?" Eos, Transactions American Geophysical Union 93, no. 15 (2012): 156. http://dx.doi.org/10.1029/2012eo150006.

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50

Wang, Jinfeng, Chengdong Xu, Maogui Hu, Qingxiang Li, Zhongwei Yan, and Phil Jones. "Global land surface air temperature dynamics since 1880." International Journal of Climatology 38 (December 14, 2017): e466-e474. http://dx.doi.org/10.1002/joc.5384.

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