Impact of Observational Environment Change on Air Temperature Based on High-Spatial-Resolution Satellite Remote Sensing Data

Shihan Chen; Ling Li; Hongfan Jiang; Weijie Ju; Manyu Zhang; Duanyang Liu; Yuanjian Yang

doi:10.3788/AOS202040.1028001

[1] Li Q X, Liu X N, Zhang H Z et al. Detecting and adjusting temporal inhomogeneity in Chinese mean surface air temperature data[J]. Advances in Atmospheric Sciences, 21, 260-268(2004).

[2] Li Q X, Zhang H Z, Liu X N et al. A mainland China homogenized historical temperature dataset of 1951—2004[J]. Bulletin of the American Meteorological Society, 90, 1062-1065(2009).

[3] Jiang Z H, Huang Q, Li Q X. Study of precipitation series homogeneous adjustment and their correction over China in the last 50 years[J]. Climatic and Environmental Research, 13, 67-74(2008).

[4] Ren G Y, Feng G L, Yan Z W. Progresses in observation studies of climate extremes and changes in mainland China[J]. Climatic and Environmental Research, 15, 337-353(2010).

[5] Li Z, Yan Z W, Tu K et al. Changes in wind speed and extremes in Beijing during 1960—2008 based on homogenized observations[J]. Advances in Atmospheric Sciences, 28, 408-420(2011).

[6] Li Q X[M]. Introduction on the research of homogeneity of climatic data, 20-23(2011).

[7] Yang Y J, Wu B W, Shi C E et al. Impacts of urbanization and station-relocation on surface air temperature series in Anhui Province, China[J]. Pure and Applied Geophysics, 170, 1969-1983(2013).

[8] Yan Z W, Li Z, Xia J J. Homogenization of climate series: The basis for assessing climate changes[J]. Scientia Sinica(Terrae), 44, 2101-2111(2014).

[9] Li Q X, Yang S, Xu W H et al. China experiencing the recent warming hiatus[J]. Geophysical Research Letters, 42, 889-898(2015).

[10] Cao L J, Zhu Y N, Tang G L et al. Climatic warming in China according to a homogenized data set from 2419 stations[J]. International Journal of Climatology, 36, 4384-4392(2016).

[11] Sun Y, Zhang X B, Ren G Y et al. Contribution of urbanization to warming in China[J]. Nature Climate Change, 6, 706-709(2016).

[12] Ren G Y, Ding Y H, Tang G L. An overview of mainland China temperature change research[J]. Journal of Meteorological Research, 31, 3-16(2017).

[13] Sun X B, Ren G Y, Xu W H et al. Global land-surface air temperature change based on the new CMA GLSAT data set[J]. Science Bulletin, 62, 236-238(2017).

[14] Shi C E, Wang X R, Wu B W et al. A study on the summer characteristics of urban heat island in Hefei[J]. Journal of Nanjing Institute of Meteorology, 28, 672-678(2005).

[15] Yang Y J, Zheng Z F, Yim S Y L, China[J]. Geophysical Research Letters et al. 47(1): GL084288(2020).

[16] Stewart I D, Oke T R. Local climate zones for urban temperature studies[J]. Bulletin of the American Meteorological Society, 93, 1879-1900(2012).

[17] Liu W D, Yang P, You H L et al. Heat island effect and diurnal temperature range in Beijing area[J]. Climatic and Environmental Research, 18, 171-177(2013).

[18] Shao Q Q, Sun C Y, Liu J Y et al. Impact of urban expansion on meteorological observation data and overestimation to regional air temperature in China[J]. Acta Geographica Sinica, 64, 1292-1302(2009).

[19] Wang Y Y, Li G C, Zhang Y. Regional represen tativeness analysis of national reference climatological stations based on MODIS/LST product[J]. Journal of Applied Meteorological Science, 22, 214-220(2011).

[20] Ren G Y, Zhang A Y, Chu Z Y et al. Principles and procedures for selecting reference surface air temperature stations in China[J]. Meteorological Science and Technology, 38, 78-85(2010).

[21] Ren G Y, Li J, Ren Y Y et al. An integrated procedure to determine a reference station network for evaluating and adjusting urban bias in surface air temperature data[J]. Journal of Applied Meteorology and Climatology, 54, 1248-1266(2015).

[22] Yang Y J, Shi T, Tang W A et al. Study of observational environment of meteorological station based remote sensing: Cases in six stations of Anhui Province[J]. Remote Sensing Technology and Application, 26, 791-797(2011).

[23] Yang Y J, Shi T, Xun S P et al. Impact of Hefei urbanization on temperature observation based on remote sensing data[J]. Meteorological Monthly, 37, 1423-1430(2011).

[24] Chen Q Q, Guo J X, Tang Z Y. Development and application of software for identifying construction area from satellite remote sensing images[J]. Meteorological Science and Technology, 41, 212-216(2013).

[25] Li Y B, Shi T, Yang Y J et al. Satellite-based investigation and evaluation of the observational environment of meteorological stations in Anhui Province, China[J]. Pure and Applied Geophysics, 172, 1735-1749(2015).

[26] Shi T, Huang Y, Wang H et al. Influence of urbanization on the thermal environment of meteorological station: Satellite-observed evidence[J]. Advances in Climate Change Research, 6, 7-15(2015).

[27] Liu S H, Li J, Wen P H. Numerical simulation of atmospheric boundary-layer structure over urban and rural areas[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 38, 90-97(2002).

[28] Liu S H, Zhou B. Simulation of wind, temperature and humidity fields over Beijing area in summer using an improved model[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 43, 42-47(2007).

[29] Zhang N, Jiang W M, Wang X Y. A numerical simulation of the effects of urban blocks and buildings on flow characteristics[J]. Acta Aerodynamica Sinica, 20, 339-342(2002).

[30] Tian D X, Guo J X, Guan Y H et al. Quantitative evaluation on requirement of obstacle distance for wind observation[J]. Plateau Meteorology, 34, 870-880(2015).

[31] Xue Z Z, Guo J X, Xue L Y et al. Quantitative impact assessment of observational environment around Miyun station on wind observation[J]. Journal of Tropical Meteorology, 32, 137-144(2016).

[32] Zhang N, Wang X M, Chen Y et al. Numerical simulations on influence of urban land cover expansion and anthropogenic heat release on urban meteorological environment in Pearl River Delta[J]. Theoretical and Applied Climatology, 126, 469-479(2016).

[33] Yang Y J, Gao Z Q, Shi T et al. Assessment of urban surface thermal environment using MODIS with a population-weighted method: a case study[J]. Journal of Spatial Science, 64, 287-300(2019).

[34] Son N T, Chen C F, Chen C R et al. Assessment of urbanization and urban heatislands in Ho Chi Minh City, Vietnam using Landsat data[J]. Sustainable Cities and Society, 30, 150-161(2017).

[35] Sun J, Shi Y Q, Cai M et al. Analysis on cloud structure forecast and seeding conditions of 3 types of cloud system in South China[J]. Meteorological Monthly, 41, 1356-1366(2015).

[36] Chen B, Shi G Y, Wang B et al. Estimation of the anthropogenic heat release distribution in China from 1992 to 2009[J]. Acta Meteorologica Sinica, 26, 507-515(2012).

[37] Shi T, Yang Y J, Zhang A M et al. Study of thermal environment of Hefei City based on TM and GIS[J]. Remote Sensing Technology and Application, 26, 156-162(2011).

[38] Zhang J H, Hou Y Y, Li G C et al. The diurnal and seasonal characteristics of urban heat island variation in Beijing city and surrounding areas and impact factors based on remote sensing satellite data[J]. Science in China (Series D), 35, 187-194(2005).

[39] Wang J, Wan H L, Yao S B. Spatial and temporal response of vegetation cover to climate change in different zones of Sichuan-Shaanxi area during growing season[J]. Acta Ecologica Sinica, 39, 5218-5231(2019).

[40] Wang Q, Sun L, Wei J et al. Improvement of universal dynamic threshold cloud detection algorithm and its application in high resolution satellite[J]. Acta Optica Sinica, 38, 1028002(2018).

[41] Chi Y L, Sun L, Wei J. Improved dynamic threshold cloud detection algorithm for Suomi-NPP visible infrared imaging radiometer[J]. Acta Optica Sinica, 39, 0528005(2019).