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Published： 2019-1 ，
Accepted： 7 September 2018
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赵丽芳, 沈占锋, 李春明, 郜丽静, 郭明, 孙源, 彭嫚. 2019. 地表净辐射通量观测、模拟和同化的研究进展. 遥感学报, 23(1): 24–36
Zhao L F, Shen Z F, Li C M, Gao L J, Guo M, Sun Y and Peng M. 2019. The progress introduction on the study of surface net radiation flux observation, simulation, and assimilation. Journal of Remote Sensing, 23(1): 24–36
地表净辐射通量是陆—气相互作用水热交换过程中的一个重要物理参量，在全球变化背景下，定量研究地表净辐射通量的时空变化对气候变化研究具有重要意义。本文总结了目前定量研究地表净辐射通量的主要方法——观测、模拟和同化，分析了观测和模拟的优势和不足，提出利用数据同化方法可以弥补观测和模拟的不足，并比较分析了目前流行的同化算法的优缺点，利用不同的同化算法构建的同化系统可以同化不同来源的观测数据对模型进行校准，获取时空上连续一致的高精度地表净辐射的预报值。最后，探讨了同化多源遥感数据改进地表净辐射通量的研究中存在的问题、发展方向及其在全球变化研究中的意义。
Surface net radiation is a key variable of energy and water exchange processes in land–atmosphere interactions. Accurate estimation of spatial–time changes on land-surface net radiation flux is a critical study in global warming for climate change research. This study aims to summarize the three main methods for estimating net radiation at present
to analyze the advantages and disadvantages of the different methods used for surface net radiation
and to propose an effective method using data assimilation to improve net radiation at present and in the future. This paper summarizes the main methods
including observation
simulation
and assimilation
used at present for surface net radiation. Observations include ground-based measurement and remote-sensing estimation. Simulation is mainly concerned with the estimation of land-surface process models. The advantages and disadvantages of observation and simulation are analyzed
and the current status and progress of surface net radiation observation and simulation are reviewed in this study. Moreover
a method of data assimilation is proposed to compensate for the shortcomings of observation and simulation. The advantages and disadvantages of popular assimilation algorithms
such as sequential (Kalman filter algorithm and its derivative
particle filter algorithm) and variational (four dimensional variational assimilation algorithm or 4D–Var) assimilation algorithms
are introduced and analyzed in this study. Furthermore
the research progress and existing problems of assimilation algorithms in surface net radiation flux estimation are summarized. At present
progress has been made in estimating the surface net radiation using data assimilation combined with multisource observations. However
problems exist in these methods. A model is calibrated by the observation data of different sources to obtain the continuous and consistent high-precision surface net radiation prediction value in time and space in the process of data assimilation using different assimilation algorithms. The adaptability of different land-surface process models varies in different research areas based on the simulation results of the model
and the precision and accuracy of the different models in describing the surface water thermal process are significant. Based on the assimilation of remote sensing data
the study of assimilating an optical remote sensing data product has been successful in estimating the net radiation of the surface.
地表净辐射通量观测模拟数据同化同化算法
surface net radiation fluxobservationsimulationdata assimilationalgorithm of assimilation
Amatya P M, Ma Y M, Han C B, Wang B B and Devkota L P. 2015. Estimation of net radiation flux distribution on the southern slopes of the central Himalayas using MODIS data. Atmospheric Research, 154: 146–154
An N, Hemmati S and Cui Y J. 2017. Assessment of the methods for determining net radiation at different time-scales of meteorological variables. Journal of Rock Mechanics and Geotechnical Engineering, 9(2): 239–246
Anandakumar K. 1999. A study on the partition of net radiation into heat fluxes on a dry asphalt surface. Atmospheric Environment, 33(24/25): 3911–3918
Anthoni P M, Law B E, Unsworth M H and Vong R J. 2000. Variation of net radiation over heterogeneous surfaces: measurements and simulation in a juniper–sagebrush ecosystem. Agricultural and Forest Meteorology, 102(4): 275–286
Barker D M, Huang W, Guo Y R, Bourgeois A J and Xiao Q N. 2004. A three-dimensional variational data assimilation system for MM5: implementation and initial results. Monthly Weather Review, 132(4): 897–914
Bergthórsson P and Döös B R. 1955. Numerical weather map analysis. Tellus, 7(3): 329–340
Bisht G and Bras R L. 2010. Estimation of net radiation from the MODIS data under all sky conditions: southern Great Plains case study. Remote Sensing of Environment, 114(7): 1522–1534
Bisht G, Venturini V, Islam S and Jiang L. 2005. Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days. Remote Sensing of Environment, 97(1): 52–67
Boni G, Castelli F and Entekhabi D. 2001. Sampling strategies and assimilation of ground temperature for the estimation of surface energy balance components. IEEE Transactions on Geoscience and Remote Sensing, 39(1): 165–172
Carmona F, Rivas R and Caselles V. 2015. Development of a general model to estimate the instantaneous, daily, and daytime net radiation with satellite data on clear-sky days. Remote Sensing of Environment, 171: 1–13
Chen J L, Xiao B B, Chen C D, Wen Z F, Jiang Y, Lv M Q, Wu S J and Li G S. 2014. Estimation of monthly-mean global solar radiation using MODIS atmospheric product over China. Journal of Atmospheric and Solar-Terrestrial Physics, 110-111: 63–80
程麟生, 宋振鑫, 杨德保. 2000. 青藏高原地表分类及其东北部辐射通量的二维数值模拟. 高原气象, 19(2): 198–213
Cheng L S, Song Z X and Yang D B. 2000. Classification of Qinghai-Xizang Plateau Landuse and two-dimensional numerical simulation of radiation flux on its northwest part. Plateau Meteorology, 19(2): 198–213 (
Choudhury B J. 2000. Seasonal and interannual variations of total evaporation and their relations with precipitation, net radiation, and net carbon accumulation for the Gediz basin area. Journal of Hydrology, 229(1/2): 77–86
Corbari C and Mancini M. 2012. Calibration and validation of a distributed energy– water balance model using satellite data of land surface temperature and ground discharge measurements. Journal of Hydrometeorology, 15(1): 376–392
Corbari C, Mancini M, Li J and Su Z. 2015. Can satellite land surface temperature data be used similarly to river discharge measurements for distributed hydrological model calibration?. Hydrological Sciences Journal, 60(2): 202–217
Cressman G P. 1959. An operational objective analysis scheme. Monthly Weather Review, 87(10): 367–374
Crosson W L, Laymon C A, Inguva R and Schamschula M P. 2002. Assimilating remote sensing data in a surface flux–soil moisture model. Hydrological Processes, 16(8): 1645–1662
Crow W T and Wood E F. 2003. The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using ensemble Kalman filtering: a case study based on ESTAR measurements during SGP97. Advances in Water Resources, 26(2): 137–149
da Silva B B, Montenegro S M G L, da Silva V D P R, da Rocha H R, Galvíncio J D and de Oliveira L M M. 2015. Determination of instantaneous and daily net radiation from TM – Landsat 5 data in a subtropical watershed. Journal of Atmospheric and Solar-Terrestrial Physics, 135: 42–49
Dai Y J, Zeng X B and Dickinson R E. 2001. Common Land Model (CoLM): Technical Documentation and User’s Guide. Georgia Institute of Technology.
Dai Y J, Zeng X B, Dickinson R E, Baker I, Bonan G B, Bosilovich M G, Denning A S, Dirmeyer P A, Houser P R, Niu G Y, Oleson K W, Schlosser C A and Yang Z L. 2003. The common land model. Bulletin of the American Meteorological, 84(8): 1013–1024
Daley R. 1991. Atmospheric Data Analysis. New York: Cambridge University Press.
Dickinson R E, Henderson-Sellers A, Kennedy P J and Wilson M F. 1986. Biosphere-Atmosphere Transfer Scheme (BATS) for the NCAR Community Climate Model. NCAR Tech. Rep. TN-275+STR, Boulder, Colo.: NCAR, 72 [DOI: 10.5065/D6668B58]
杜建飞, 陈渭民, 吴鹏飞, 张建平, 孙凡. 2004. 由GMS资料估算我国东部地区夏季地表净辐射. 南京气象学院学报, 27(5): 674–680
Du J F, Chen W M, Wu P F, Zhang P F and Sun F. 2004. GMS Data-Estimated surface net radiation over east China in summer. Journal of Nanjing Institute of Meteorology, 27(5): 674–680 (
Entekhabi D, Nakamura H and Njoku E G. 1994. Solving the inverse problem for soil moisture and temperature profiles by sequential assimilation of multifrequency remotely sensed observations. IEEE Transactions on Geoscience and Remote Sensing, 32(2): 438–448
Epstein E S. 1969. Stochastic dynamic prediction. Tellus, 21(6): 739–759
Evensen G. 1994. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. Journal of Geophysical Research, 99(C5): 10143–10162
Evensen G and Van Leeuwen P J. 2000. An ensemble Kalman smoother for nonlinear dynamics. Monthly Weather Review, 128(6): 1852–1867
Evensen G. 2004. Sampling strategies and square root analysis schemes for the EnKF. Ocean Dynamics, 54(6): 539–560
方楠, 阳坤, 拉珠, 陈莹莹, 王君波, 朱立平. 2017. WRF湖泊模型对青藏高原纳木错湖的适用性研究. 高原气象, 36(3): 610–618
Fang N, Yang K, La Z, Chen Y Y, Wang J B and Zhu L P. 2017. Research on the application of WRF-lake Modeling at Nam Co Lake on the Qinghai-Tibetan Plateau. Plateau Meteorology, 36(3): 610–618 (
Galantowicz J F, Entekhabi D, Njoku E G. 1999. Tests of sequential data assimilation for retrieving profile soil moisture and temperature from observed L-band radiobrightness. IEEE Trans. geosci. remote Sens, 37(4): 1860–1870
Gavilán P, Berengena J and Allen R G. 2007. Measuring versus estimating net radiation and soil heat flux: impact on Penman–Monteith reference ET estimates in semiarid regions. Agricultural Water Management, 89(3): 275–286
Georg W, Albin H, Georg N, Katharina S, Enrico T and Zhao P. 2016. On the energy balance closure and net radiation in complex terrain. Agricultural and Forest Meteorology, 226-227: 37–49
Geraldo-Ferreira A, Soria-Olivas E, Gómez-Sanchis J, Serrano-López A J, Velázquez-Blazquez A and López-Baeza E. 2011. Modelling net radiation at surface using “in situ” netpyrradiometer measurements with artificial neural networks. Expert Systems with Applications, 38(11): 14190–14195
Goodin D G. 1995. Mapping the surface radiation budget and net radiation in a sand hills wetland using a combined modeling/remote sensing method and Landsat Thematic Mapper imagery. Geocarto International, 10(2): 19–29
Gordon N J, Salmond D J and Smith A F M. 1993. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEEE Proceedings F-Radar and Signal Processing, 140(2): 107–113
Han X J and Li X. 2007. An evaluation of the nonlinear/non-Gaussian filters for the sequential data assimilation. Remote Sensing of Environment, 112(4): 1434–1449
He T, Liang S L, Wang D D, Shi Q Q and Goulden M L. 2015. Estimation of high-resolution land surface net shortwave radiation from AVIRIS data: algorithm development and preliminary results. Remote Sensing of Environment, 167: 20–30
Huang C L, Chen W J, Li Y, Shen H F and Li X. 2016. Assimilating multi-source data into land surface model to simultaneously improve estimations of soil moisture, soil temperature, and surface turbulent fluxes in irrigated fields. Agricultural and Forest Meteorology, 230-231: 142–156
Huang C L, Li X and Lu L. 2008a. Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter. Remote Sensing of Environment, 112(4): 1320–1336
Huang C L, Li X, Lu L and Gu J. 2008b. Experiments of one-dimensional soil moisture assimilation system based on ensemble Kalman filter. Remote Sensing of Environment, 112(3): 888–900
Hurtado E and Sobrino J A. 2001. Daily net radiation estimated from air temperature and NOAA-AVHRR data: a case study for the Iberian Peninsula. International Journal of Remote Sensing, 22(8): 1521–1533
Jacobs J M, Myers D A, Anderson M C and Diak G R. 2002. GOES surface in solation to estimate wetlands evapotranspiration. Journal of Hydrology, 266(1/2): 53–65
Jia A L, Liang S L, Jiang B, Zhang X T and Wang G X. 2018. Comprehensive assessment of global surface net radiation products and uncertainty analysis. Journal of Geophysical Research, 123(4): 1970–1989
Jiang B, Zhang Y, Liang S L, Wohlfahrt G, Arain A, Cescatti A, Georgiadis T, Jia K, Kiely G, Lund M, Montagnani L, Magliulok V, Ortiz P S, Oechelm W, Vaccari F P, Yao Y J, Zhang X T. 2015. Empirical estimation of daytime net radiation from shortwave radiation and ancillary information. Agricultural and Forest Meteorology, 211-212: 23–36
江灏, 瞿章. 1991. 拉萨地表净辐射的年际变化. 高原气象, 10(3): 325–331
Jiang H and Zhai Z. 1991. The interannual variance of surface net radiation over Lhasa ragion. Plateau Meteorology, 10(3): 325–331 (
Jiménez-Munoz J C, Sobrino J A and Mattar C. 2012. Recent trends in solar exergy and net radiation at global scale. Ecological Modelling, 228: 59–65
Jin Y F, Randerson J T and Goulden M L. 2011. Continental-scale net radiation and evapotranspiration estimated using MODIS satellite observations. Remote Sensing of Environment, 115(9): 2302–2319
Julier, Uhlmann J and Durrant-Whyte H F. 2000. A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Transactions on Automatic Control, 45(3): 477–482
Kalman R E. 1960. A new approach to linear filtering and prediction problems. Journal of Basic Engineering, 82(1): 35–45
Kim H Y and Liang S L. 2010. Development of a hybrid method for estimating land surface shortwave net radiation from MODIS data. Remote Sensing of Environment, 114(11): 2393–2402
Kumar P and Kaleita A L. 2003. Assimilation of near-surface temperature using extended Kalman filter. Advances in Water Resources, 26(1): 79–93
Lewis J M. 1972. An operational upper air analysis using the variational method. Tellus, 24(6): 514–530
Lewis J M and Derber J C. 1985. The use of adjoint equations to solve a variational adjustment problem with advective constraints. Tellus A, 37A(4): 309–322
Li C W, Lu H, Yang K, Wright J S, Yu Y, Chen Y Y, Huang X M and Xu S M. 2017. Evaluation of the Common Land Model (CoLM) from the perspective of water and energy budget simulation: towards inclusion in CMIP6. Atmosphere, 8(8): 141
Li J and Islam S. 1999. On the estimation of soil moisture profile and surface fluxes partitioning from sequential assimilation of surface layer soil moisture. Journal of Hydrology, 220(1/2): 86–103
李新, 小池俊雄, 程国栋. 2003. 一个基于模拟退火法的陆面数据同化算法. 地球科学进展, 18(4): 632–636
Li X, Koike T and Cheng G D. 2003. An algorithm for land data assimilation by using simulated annealing method. Advance in Earth Sciences, 18(4): 632–636 (
Li Z, Zhao LF and Fu Z. 2012. Estimating net radiation flux in the Tibetan Plateau by assimilating MODIS LST products with an ensemble Kalman filter and particle filter. International Journal of Applied Earth Observation and Geoinformation, 19: 1–11
梁顺林. 2009. 定量遥感. 范闻捷, 译. 北京: 科学出版社
Liang S L. 2009. Quantitative Remote Sensing of Land Surfaces. Fan W J, trans. Beijing: Science Press
Llasat M C and Snyder R L. 1998. Data error effects on net radiation and evapotranspiration estimation. Agricultural and Forest Meteorology, 91(3/4): 209–221
Long D, Gao Y C and Singh V P. 2010. Estimation of daily average net radiation from MODIS data and DEM over the Baiyangdian watershed in North China for clear sky days. Journal of Hydrology, 388(3/4): 217–233
Lu H, Koike T, Yang K, Hu Z Y, Xu X D, Rasmy M, Kuria D and Tamagawa K. 2012. Improving land surface soil moisture and energy flux simulations over the Tibetan plateau by the assimilation of the microwave remote sensing data and the GCM output into a land surface model. International Journal of Applied Earth Observation and Geoinformation, 17: 43–54
罗立辉, 张耀南, 周剑, 潘小多, 孙维君. 2013. 基于WRF驱动的CLM模型对青藏高原地区陆面过程模拟研究. 冰川冻土, 35(3): 553–564
Luo L H, Zhang Y N, Zhou J, Pan X D and Sun W J. 2013. Simulation and application of the land surface model CLM driven by WRF in the Tibetan Plateau. Journal of Glaciology and Geocryology, 35(3): 553–564 (
Ma W Q, Hafeez M, Rabbani U, Ishikawa H and Ma Y M. 2012. Retrieved actual ET using SEBS model from Landsat-5 TM data for irrigation area of Australia. Atmospheric Environment, 59: 408–414
Ma W Q, Ma Y M and Ishikawa H. 2014. Evaluation of the SEBS for upscaling the evapotranspiration based on in-situ observations over the Tibetan Plateau. Atmospheric Research, 138: 91–97
Ma Y, Zhong L, Wang B, Ma W, Chen X and Li M. 2011. Determination of land surface heat fluxes over heterogeneous landscape of the Tibetan Plateau by using the MODIS and in situ data. Atmospheric Chemistry and Physics, 11(20): 10461–10469
Ma Y, Zhu Z, Zhong L, Wang B, Han C, Wang Z, Wang Y, Lu L, Amatya P M, Ma W and Hu Z. 2014a. Combining MODIS, AVHRR and in situ data for evapotranspiration estimation over heterogeneous landscape of the Tibetan Plateau. Atmospheric Chemistry and Physics, 14(3): 1507–1515
Ma Y M, Han C B, Zhong L, Wang B B, Zhu Z K, Wang Y J, Zhang L, Meng C C, Xu C and Amatya P M. 2014b. Using MODIS and AVHRR data to determine regional surface heating field and heat flux distributions over the heterogeneous landscape of the Tibetan Plateau. Theoretical and Applied Climatology, 117(3/4): 643–652
Margulis S A, McLaughlin D, Entekhabi D and Dunne S. 2002. Land data assimilation and estimation of soil moisture using measurements from the Southern Great Plains 1997 field experiment. Water Resources Research, 38(12): 0331
McLaughlin D. 1995. Recent developments in hydrologic data assimilation. Reviews of Geophysics, 33(S2): 977–984
Meng C J, Pinker R T, Dan Tarpley J and Laszlo I. 2003. A satellite approach for estimating regional land surface energy budget for GCIP/GAPP. Journal of Geophysical Research, 108(D22): 8861
Moradkhani H, Hsu K L, Gupta H and Sorooshian S. 2005. Uncertainty assessment of hydrologic model states and parameters: sequential data assimilation using the particle filter. Water Resources Research, 41(5): W05012
Pan M, Wood E F, Wójcik R and McCabe M F. 2008. Estimation of regional terrestrial water cycle using multi-sensor remote sensing observations and data assimilation. Remote Sensing of Environment, 112(4): 1282–1294
Panofsky R A. 1949. Objective weather-map analysis. Journal of Meteorology, 6(6): 386–392
Qin J, Liang S L, Yang K, Kaihotsu I, Liu R G and Koike T. 2009. Simultaneous estimation of both soil moisture and model parameters using particle filtering method through the assimilation of microwave signal. Journal of Geophysical Research, 114(D15): D15103
Rabier F, Järvinen H, Klinker E, Mahfouf J F and Simmons A. 2000. The ECMWF operational implementation of four-dimensional variational assimilation. I: experimental results with simplified physics. Quarterly Journal of the Royal Meteorological Society, 126(564): 1143–1170
Rabier F, Thépaut J N and Courtier P. 1998. Extended assimilation and forecast experiments with a four-dimensional variational assimilation system. Quarterly Journal of the Royal Meteorological Society, 124(550): 1861–1887
Reichle H R, Entekhabi D and McLaughlin D B. 2001. Downscaling of radio brightness measurements for soil moisture estimation: a four-dimensional variational data assimilation approach. Water Resources Research, 37(9): 2353–2364
Reichle H R, McLaughlin D B and Entekhabi D. 2002. Hydrologic data assimilation with the ensemble Kalman filter. Monthly Weather Review, 130(1): 103–114
Sasaki Y. 1958. An objective analysis based on the variational method. Journal of the Meteorological Society of Japan. Ser. II, 36(3): 77–88
Sasaki Y. 1969. Proposed inclusion of time. variation terms, observational and theoretical, in numerical variational objective analysis. Journal of the Meteorological Society of Japan. Ser. II, 47(2): 115–124
Sasaki Y. 1970. Some basic formalisms in numerical variational analysis. Monthly Weather Review, 98(12): 875–883
Sawada Y and Koike T. 2014. Simultaneous estimation of both hydrological and ecological parameters in an ecohydrological model by assimilating microwave signal. Journal of Geophysical Research, 119(14): 8839–8857
Schaake J C, Koren V I, Duan Q Y, Mitchell K E and Chen F. 1996. Simple water balance model for estimating runoff at different spatial and temporal scales. Journal of Geophysical Research, 101(D3): 7461–7475
Sellers P J, Randall D A, Collatz G J, Berry J A, Field C B, Dazlich D A, Zhang C, Collelo G D and Bounoua L. 1996. A revised land surface parameterization (SiB2) for atmospheric GCMs. Part I: model formulation. Journal of Climate, 9(4): 675–705
史兵, 孙治安, 缪启龙, 翁笃鸣. 1989. 我国东部亚热带地区地面净辐射的分布. 热带地理, 9(3): 222–233
Shi B, Sun Z A, Miao C L and Weng D M. 1989. Distribution of surface net radiation over the subtropical region in eastern China. Tropical Geography, 9(3): 222–233 (
Talagrand O. 1997. Assimilation of observations, an introduction (gtSpecial IssueltData assimilation in meteology and oceanography: theory and practice). Journal of Meteorological Society of Japan. Ser. II, 75(1B): 191–909
Tang B H and Li Z L. 2008. Estimation of instantaneous net surface longwave radiation from MODIS cloud-free data. Remote Sensing of Environment, 112(9): 3482–3492
Tian X J, Xie Z H, Dai A G, Shi C X, Jia B H, Chen F and Yang K. 2009. A dual-pass variational data assimilation framework for estimating soil moisture profiles from AMSR-E microwave brightness temperature. Journal of Geophysical Research, 114(D16): D16102
Walker J P and Houser P R. 2001. A methodology for initializing soil moisture in a global climate model: assimilation of near-surface soil moisture observations. Journal of Geophysical Research, 106(D11): 11761–11774
Wan E A and Van der Merwe R. 2000. The unscented Kalman filter for nonlinear estimation//Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium. Lake Louise, Alberta, Canada: IEEE [DOI: 10.1109/ASSPCC.2000.882463]
Wang D D, Liang S L, He T and Shi Q Q. 2015. Estimating clear-sky all-wave net radiation from combined visible and shortwave infrared (VSWIR) and thermal infrared (TIR) remote sensing data. Remote Sensing of Environment, 167: 31–39
王可丽, 钟强. 1995. 青藏高原地区大气顶净辐射与地表净辐射的关系. 气象学报, 53(1): 101–107
Wang K L and Zhong Q. 1995. The relationship between the planetary and surface net radiation over Qinghai-Xizang Plateau. Acta Meteorologica Sinica, 53(1): 101–107 (
Wang W H and Liang S L. 2009. Estimation of high-spatial resolution clear-sky longwave downward and net radiation over land surfaces from MODIS data. Remote Sensing of Environment, 113(4): 745–754
翁笃鸣和高建芸. 1993. 青藏高原地表净辐射的气候学研究. 南京气象学院学报, 16(4): 464–470
Weng D M and Gao J Y. 1993. Climatological study of surface net radiation over the Qinghai-Xizang Plateau. Journal of Nanjing Institute of Meteorology, 16(4): 464–470 (
翁笃鸣, 高歌. 2001. 利用卫星资料试作青藏高原地表净辐射场的气候反演. 气象科学, 21(2): 162–168
Weng D M and Gao G. 2001. Trial of surface net radiation’s climatic retrieval over Qinghai- Tibet Plateau using satellite data. Scientia Meteorologica Sinica, 21(2): 162–168 (
吴晓鸣, 马伟强, 马耀明. 2013. 夏季藏北高原地表热通量特征观测与模拟. 高原气象, 32(5): 1246–1252
Wu X M, Ma W Q and Ma Y M. 2013. Observation and simulation analyses on characteristics of land surface heat flux in northern Qinghai-Xizang Plateau in summer. Plateau Meteorology, 32(5): 1246–1252 (
Xu T R, Bateni S M, Liang S, Entekhabi D, and Mao K B. B. 2014. Estimation of surface turbulent heat fluxes via variational assimilation of sequences of land surface temperatures from Geostationary Operational Environmental satellites. Journal of Geophysical Research, 119(18): 10780–10798
Xu T R, Bateni S M, Neale C M U, Auligne T and Liu S M. 2018. Estimation turbulent heat fluxes by assimilation of land surface temperature observations from GOES satellites into an Ensemble Kalman Smoother framework. Journal of Geophysical Research, 123(5): 2409–2423
Xu T R, Liang S L and Liu S M. 2011. Estimating turbulent fluxes through assimilation of geostationary operational environmental satellites data using ensemble Kalman filter. Journal of Geophysical Research, 116(D9): D09109
Yang K, He J, Tang W J, Qin J and Charles C C K. 2010. On downward shortwave and longwave radiations over high altitude regions: observation and modeling in the Tibetan Plateau. Agricultural and Forest Meteorology, 150(1): 38–46
Yang K, Huang G W and Tamai N. 2001. A hybrid model for estimating global solar radiation. Solar Energy, 70(1): 13–22
Yang K, Koike T and Ye B S. 2006. Improving estimation of hourly, daily, and monthly solar radiation by importing global data sets. Agricultural and Forest Meteorology, 137(1/2): 43–55
Yang K and Wang J M. 2008. A temperature prediction-correction method for estimating surface soil heat flux from soil temperature and moisture data. Science in China Series D: Earth Sciences, 51(5): 721–729
Yang K, Watanabe T, Koike T, Li X, Fujii H, Tamagawa K, Ma Y M and Ishikawa H. 2007. Auto-calibration system developed to assimilate AMSR-E data into a land surface model for estimating soil moisture and the surface energy budget. Journal of the Meteorological Society of Japan. Ser. II, 85A: 229–242
叶晶, 刘辉志, 李万彪, 蔡双彭, 李宇明, 曹丽霞. 2010. 利用MODIS数据直接估算晴空区干旱与半干旱地表净辐射通量. 北京大学学报(自然科学版), 46(6): 942–950
Ye J, Liu H Z, Li W B, Cai S P, Li Y M and Cao L X. 2010. Estimation of the net radiation over arid and semiarid areas only using MODIS data for clear sky days. Acta Scientiarum Naturalium Universitatis Pekinensis, 46(6): 942–950 (
于贵瑞, 孙晓敏. 2006. 陆地生态系统通量观测的原理与方法. 北京: 高等教育出版社
Yu G R and Sun X M. 2006. Principles of Flux Measurement in Terrestrial Ecosystems. Beijing: Higher Education Press
Zhao L, Yang K, Qin J, Chen Y Y, Tang W J, Lu H and Yang Z L. 2014. The scale-dependence of SMOS soil moisture accuracy and its improvement through land data assimilation in the central Tibetan Plateau. Remote Sensing of Environment, 152: 345–355
Zhou Y H, McLaughlin D and Entekhabi D. 2006. Assessing the performance of the ensemble Kalman filter for land surface data assimilation. Monthly Weather Review, 138(4): 2128–2142
朱克云, 段廷扬, 潘永. 2001. 青藏高原热状况特征分析. 云南大学学报(自然科学版), 23(4): 252–257, 261
Zhu K Y, Duan T Y and Pan Y. 2001. Feature analysis of thermal regime on Tibet Plateau. Journal of Yunnan University, 23(4): 252–257, 261 (
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