An Improved Method for Correction of Air Temperature Measured Using Different Radiation Shields

CHENG Xinghong; SU Debin; LI Deping; CHEN Lu; XU Wenjing; YANG Meilin; LI Yongcheng; YUE Zhizhong; WANG Zijing

doi:10.1007/s00376-014-3129-0

Abstract:

The variation of air temperature measurement errors using two different radiation shields (DTR502B Vaisala, Finland, and HYTFZ01, Huayun Tongda Satcom, China) was studied. Datasets were collected in the field at the Daxing weather station in Beijing from June 2011 to May 2012. Most air temperature values obtained with these two commonly used radiation shields were lower than the reference records obtained with the new Fiber Reinforced Polymers (FRP) Stevenson screen. In most cases, the air temperature errors when using the two devices were smaller on overcast and rainy days than on sunny days; and smaller when using the imported rather than the Chinese shield. The measured errors changed sharply at sunrise and sunset, and reached maxima at noon. Their diurnal variation characteristics were, naturally, related to changes in solar radiation. The relationships between the record errors, global radiation, and wind speed were nonlinear. An improved correction method was proposed based on the approach described by Nakamura and Mahrt (2005) (NM05), in which the impact of the solar zenith angle (SZA) on the temperature error is considered and extreme errors due to changes in SZA can be corrected effectively. Measurement errors were reduced significantly after correction by either method for both shields. The error reduction rate using the improved correction method for the Chinese and imported shields were 3.3% and 40.4% higher than those using the NM05 method, respectively.

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An Improved Method for Correction of Air Temperature Measured Using Different Radiation Shields

Corresponding author: CHENG Xinghong, cxingh@cma.gov.cn;

1. Public Meteorological Service Center, China Meteorological Administration, Beijing 100081;

2. Support Center for Atmospheric Observing Technology, Beijing Meteorological Bureau, Beijing 100089;

3. Beijing Observatory Station, Beijing Meteorological Bureau, Beijing 100089;

4. Daxing District Bureau of Meteorology, Beijing Meteorological Bureau, Beijing 100089

Manuscript received: 2013-06-18

Manuscript revised: 2014-05-11

Fund Project: This work was financially supported by the Meteorological Key Technology Integration and Application Project funded by the China Meteorological Administration (Grant No. CAMGJ2012M01), the Special Fund of Beijing Meteorological Bureau (Grant No. 2011BMBKYZX04), and the Nation Natural Science Foundation of China (Grant No. 41275114). The authors wish to thank the reviewers who provided useful and constructive revision suggestions.

Abstract: The variation of air temperature measurement errors using two different radiation shields (DTR502B Vaisala, Finland, and HYTFZ01, Huayun Tongda Satcom, China) was studied. Datasets were collected in the field at the Daxing weather station in Beijing from June 2011 to May 2012. Most air temperature values obtained with these two commonly used radiation shields were lower than the reference records obtained with the new Fiber Reinforced Polymers (FRP) Stevenson screen. In most cases, the air temperature errors when using the two devices were smaller on overcast and rainy days than on sunny days; and smaller when using the imported rather than the Chinese shield. The measured errors changed sharply at sunrise and sunset, and reached maxima at noon. Their diurnal variation characteristics were, naturally, related to changes in solar radiation. The relationships between the record errors, global radiation, and wind speed were nonlinear. An improved correction method was proposed based on the approach described by Nakamura and Mahrt (2005) (NM05), in which the impact of the solar zenith angle (SZA) on the temperature error is considered and extreme errors due to changes in SZA can be corrected effectively. Measurement errors were reduced significantly after correction by either method for both shields. The error reduction rate using the improved correction method for the Chinese and imported shields were 3.3% and 40.4% higher than those using the NM05 method, respectively.

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Albrecht, F., 1927:Thermometer zur Messung der wahren Lufttem-peratur. Meteor. Z., 24, 420-424.

Albrecht, F., 1934:Ȕber die Einwirkung der Strahling auf frei aufgestellte elektrische Thermometer. Verȍff. Pruss. Meteor. Inst., 402, 76-82.

Anderson, S. P., M. F. Baumgartner, 1998:Radiative heating errors in naturally ventilated air temperature measurements made from buoys. J. Atmos. Oceanic Technol., 15, 157-173.

Arck, M., D. Scherer, 2001:A physically based method for correcting temperature data measured by naturally ventilated sensors over snow. J. Glaciol., 47(159), 665-670.

China Meteorological Administration (CMA), 2003:Specifications for Surface Meteorological Observation. China Meteorological Press, Beijing, 151 pp. (in Chinese)

Erell, E., V. Leal, E. Maldonado, 2005:Measurement of air temperature in the presence of a large radiant flux: An assessment of passively ventilated thermometer screens. Bound.-Layer Meteor., 114(2), 205-231.

Fuchs, M., C. B. Tanner, 1965:Radiation shield for air temperature thermometers. J. Appl. Meteor., 4(4), 544-547.

Georges, C., G. Kaser, 2002:Ventilated and unventilated air temperature measurements for glacier-climate studies on a tropical high mountain site. J. Geophys. Res., 107(D24), 4775, doi: 10.1029/2002JD002503.

Gill, G. C., 1983: Comparison testing of selected naturally ventilated solar radiation shield. The National Oceanic and Atmospheric Administration (NOAA) Data Buoy Office Technical Report, 38 pp.

Huwald, H., C. W. Higgins, M. O. Boldi, E. Bou-Zeid, M. Lehning, M. B. Parlange, 2009:Albedo effect on radiative errors in air temperature measurements. Water Resour. Res., 45, W08431, doi: 10.1029/2008WR007600.

Long, C. N., Y. Shi, 2008:An automated quality assessment and control algorithm for surface radiation measurements. The Open Atmospheric Science Journal, 2, 23-37.

Lundquist, J. D., B. Huggett, 2008:Evergreen trees as inexpensive radiation shield for temperature sensors. Water Resour. Res., 44, W00D04, doi: 10.1029/2008WR006979.

Mauder, M., R. L. Desjardins, Z. L. Gao, R. van Haarlem, 2008:Errors of naturally ventilated air temperature measurements in a spatial observation network. J. Atmos. Oceanic Technol., 25, 2145-2151.

Nakamura, R., L. Mahrt, 2005:Air temperature measurement errors in naturally ventilated radiation shields. J. Atmos. Oceanic Technol., 22, 1046-1058.

Richardson, S. J., F. V. Brock, S. R. Semmer, C. Jirak, 1999:Minimizing errors associated with multiplate radiation shields. J. Atmos. Oceanic Technol., 16, 1862-1872.

Robert, K., 2010:Accurate temperature measurements in a naturally-aspirated radiation shield. Bound.-Layer Meteor., 134(2), 181-193.

Tanner, B. D., E. Swiatek, C. Maughan, 1996:Field comparison of naturally ventilated and aspirated radiations shield for weather station air temperature measurements. Proc. the 22^d Conf. on Agricultural and Forest Meteorology, Atlanta, GA, Amer. Meteor. Soc., 227-230.

Wang, X. L., Y. J. Han, 2008:Research on radiation shield of temperature and humidity probes. Meteorological, Hydrological and Marine Instrument, 25(3), 68-71. (in Chinese)

Whiteman, C. D., J. M. Hubbe, W. J. Shaw, 2000:Evaluation of an inexpensive temperature data logger for meteorological applications. J. Atmos. Oceanic Technol., 17, 77-81.

Wu, X. J., W. H. LȔ, H. Y. Xing, Y. Q. Zou, 2011:Research on temperature channel calibration of data-acquisition unit of automatic weather station.Proc. the 10^th International Conf. on Electronic Measurement & Instruments, Chengdu, China, 194-197.

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An Improved Method for Correction of Air Temperature Measured Using Different Radiation Shields

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