Improving Noah land surface model performance using near real time surface albedo and green vegetation fraction

Agricultural and Forest Meteorology

Volumn 218-219, Issue , 2016, Pages 171-183

  Yin, Jifu ^a,b,c   Zhan, Xiwu ^b   Zheng, Youfei ^d   Hain, Christopher R ^b,c   Ek, Michael ^b   Wen, Jun ^a   Fang, Li ^b,c   Liu, Jicheng ^b,c  

^a Chinese Academy of Sciences   (China)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

^d NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Albedo; Green vegetation fraction; Near real time; Noah land surface model; Soil moisture; Soil temperature

Indexed keywords

ALBEDO; CLIMATE MODELING; DATA ASSIMILATION; IN SITU MEASUREMENT; LAND SURFACE; PERFORMANCE ASSESSMENT; REAL TIME; SHORTWAVE RADIATION; SOIL MOISTURE; SOIL TEMPERATURE; VEGETATION COVER;

EID: 84951161741     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2015.12.001     Document Type: Article

References (64)

1. Alton P. A simple retrieval of ground albedo and vegetation absorptance from MODIS satellite data for parameterisation of global land-surface models. Agric. For. Meteorol. 2009, 149:1769-1775.
2. Anderson M.C., Norman J.M., Kustas W.P., Li F., Prueger J.H., Mecikalski J.R. Effects of Vegetation Clumping on Two-Source Model Estimates of Surface Energy Fluxes from an Agricultural Landscape during SMACEX. J. Hydrometeorol. 2005, 6:892-909.
3. Anderson M.C., Zolin C.A., Hain C.R., Semmens K.M., Yilmaz T., Gao F. Comparison of satellite-derived LAI and precipitation anomalies over Brazil with a thermal infrared-based evaporative stress index for 2003-2013. J. Hydrol. 2015, 526:287-302.
4. Augustine J.A., Dutton E.G. Variability of the surface radiation budget over the United States from 1996 through 2011 from high-quality measurements. J. Geophys. Res.: Atmos. 2013, 118:43-53. 10.1029/2012JD018551.
5. Augustine J.A., Hodges G.B. An update on SURFRAD-the GCOS surface radiation budget network for the continental United States. J. Atmos. Ocean. Technol. 2005, 22:1460-1472.
6. Cescatti A., Marcolla B., Vannan S.K.S., Pan J.Y., Román M.O., Yang X., Ciais P., Cook R.B., Law B.E., Matteucci G., Migliavacca M., Moors E., Richardson A.D., Seufert G., Schaaf C.B. Intercomparison of MODIS albedo retrievals and in situ measurements across the global FLUXNET network. Remote Sens. Environ. 2012, 121:323-334.
7. Chapin F.S., Randerson J.T., McGuire A.D., Foley J.A., Field C.B. Changing feedbacks in the climate-biosphere system. Front. Ecol. Environ. 2008, 6:313-320. 10.1890/080005.
8. Charney J.G., Stone P.H., Quirk W.J. Drought in the Sahara: a biogeophysical feedback mechanism. Science 1975, 187:100-102.
9. Charney J.G., Quirk W.J., Chow S.-H., Kornfield J. A comparative study of the effects of albedo change on drought in semi-arid regions. J. Atmos. Sci. 1977, 34:1366-1385.
10. Chen F., Dudhia J. Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: model implementation and sensitivity. Mon. Weather Rev. 2001, 129:569-585.
11. Chen F., Manning K.W., LeMone M.A., Trier S.B., Alfieri J.G., Roberts R., Tewari M., Niyogi D., Horst T.W., Oncley S.P., Basara J.B., Blanken P.D. Description and evaluation of the characteristics of the NCAR high-resolution land data assimilation system. J. Appl. Meteorol. Climatol. 2007, 46:694-713.
12. Chen F., Mitchell K.E., Schaake J., Xue Y., Pan H.-L., Koren V., Duan Q.Y., Ek M., Betts A. Modeling of land surface evaporation by four schemes and comparison with FIFE observations. J. Geophys. Res. 1996, 101:7251-7268. 10.1029/95JD02165.
13. Chen F., Janjic Z., Mitchell K.E. Impact of atmospheric surface-layer parameterizations in the new land-surface scheme of the NCEP mesoscale Eta model. Bound. Layer Meteorol. 1997, 85:391-421. 10.1023/A:1000531001463.
14. Chen Y., Yang K., Zhou D., Qin J., Guo X. Improving the Noah land surface model in arid regions with an appropriate parameterization of the thermal roughness length. J. Hydrometeorol. 2010, 11:995-1006.
15. Colman R.A. Surface albedo feedbacks from climate variability and change. J. Geophys. Res. Atmos. 2013, 118:2827-2834. 10.1002/jgrd.50230.
16. Crow W.T., Kumar S.V., Bolten J.D. On the utility of land surface models for agricultural drought monitoring. Hydrol. Earth Syst. Sci. Discuss. 2012, 9:5167-5193.
17. Derber J.C., Parrish D.F., Lord S.J. The new global operational analysis system at the National Meteorological Center. Weather Forecast. 1991, 6:538-547.
18. Ek M.B., Mitchell K.E., Lin Y., Rogers E., Grunmann P., Koren V., Gayno G., Tarpley J.D. implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. J. Geophys. Res. 2003, 108(D22):8851. 10.1029/2002JD003296.
19. Eltahir E.A.B. Asoilmoisture rainfall feedbackmechanism: 1. Theory and observations. Water Resour. Res. 1998, 34:765-776.
20. Gutman G., Ignatov A. Derivation of green vegetation fraction from NOAA/AVHRR for use in numerical weather prediction models. Int. J. Remote Sens. 1998, 19:1533-1543.
21. Hain C.R., Crow W.T., Mecikalski J.R., Anderson M.C., Holmes T. An intercomparison of available soil moisture estimates from thermal infrared and passive microwave remote sensing and land surface modeling. J. Geophys. Res. 2011, 116:D15107. 10.1029/2011JD015633.
22. Hain C.R., Crow W.T., Anderson M.C., Mecikalski J.R. An ensemble Kalman filter dual assimilation of thermal infrared and microwave satellite observations of soil moisture into the Noah land surface model. Water Resour. Res. 2012, 48:W11517. 10.1029/2011WR011268.
23. Henderson-Sellers A., Wilson M.F. Surface albedo data for climatic modeling. Rev. Geophys. 1983, 21:1743-1778.
24. Henley B.J., Thyer M.A., Kuczera G. Climate driver informed short-term drought risk evaluation. Water Resour. Res., 2013, 49. 10.1002/wrcr.20222.
25. Hogue T.S., Bastidas L., Gupta H., Sorooshian S., Mitchell K., Emmerich W. Evaluation and transferability of the Noah land surface model in semiarid environments. J. Hydrometeorol. 2005, 6:68-83.
26. Hollinger D.Y., Ollinger S.V., Richardson A.D., Meyers T.P., Dail D.B., Martin M.E., et al. Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration. Glob. Change Biol. 2009, 16:696-710.
27. Jacquemin B., Noilhan J. Sensitivity study and validation of a land surface parameterization using the HAPEX-MOBILHY data set. Boundary-Layer Meteorol. 1990, 52:93-134.
28. Jiang L., Kogan F.N., Guo W., Tarpley J.D., Mitchell K.E., Ek M.B., Tian Y., Zheng W., Zou C.Z., Ramsay B.H. Real-time weekly global green vegetation fraction derived from advanced very high resolution radiometer-based NOAA operational global vegetation index (GVI) system. J. Geophys. Res. 2010, 115:D11114. 10.1029/2009JD013204.
29. Jin Y.F., Schaaf C.B., Woodcock C.E., Gao F., Li X.W., Strahler A.H., Lucht W., Liang S. "Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals: 2. Validation. J. Geophys. Res. 2003, 108(D5):4159.
30. Kumar S.V., Riechle R.H., Koster R.D., Crow W.T., Peters-Lidard C.D. Role of subsurface physics in the assimilation of surface soil moisture observations. J. Hydrometerorol. 2009, 10:1534-1537.
31. Kurkowski N.P., Stensrud D.J., Baldwin M.E. Assessment of implementing satellite-derived land cover data in the Eta model. Weather Forecast. 2003, 18:404-416.
32. Kustas W.P., Alfieri J.G., Anderson M.C., Colaizzi P.D., Prueger J.H., Evett S.R., Neale C.M.U., French A.N., Hipps L.E., Chávez J.L., Copeland K.S., Howell T.A. Evaluating the two-source energy balance model using local thermal and surface flux observations in a strongly advective irrigated agricultural area. Adv. Water Resour. 2012, 50:120-133.
33. Liu Q., Reichle R.H., Bindlish R., Cosh M.H., Crow W.T., De Jeu R., De Lannoy G.J.M., Huffman G.J., Jackson T.J. The contributions of precipitation and soil moisture observations to the skill of soil moisture estimates in a land data assimilation system. J. Hydrometeorol. 2011, 12:750-765.
34. Mahfouf J.F., Noilhan J. Comparative study of various formulation from bare soil using in situ data. J. Appl. Meteorol. 1991, 30:1354-1365.
35. Mahrt L., Pan H.-L. A two-layer model of soil hydrology. Boundary-Layer Meteorol. 1984, 29:1-20.
36. Mahrt L., Ek M. The influence of atmospheric stability on potential evaporation. J. Clim. Appl. Meteorol. 1984, 23:222-234.
37. Maity R., Ramadas Meenu, Govindaraju Rao S. Dentification of hydrologic drought triggers from hydro-climatic predictor variables. Water Resour. Res. 2013, 49(7):4476-4492. 10.1002/wrcr.20346.
38. Mariotti A., Schubert Siegfried, Mo Kingtse, Peters-Lidard Christa, Wood Andy, Pulwarty Roger, Huang Jin, Barrie Dan Advancing drought understanding, monitoring 1 and prediction. Bull. Am. Meteorol. Soc. 2013, 10.1175/BAMS-D-12-00248.1.
39. Miller J., Barlage Michael, Zeng Xubin, Wei Helin, Mitchell Kenneth, Tarpley Dan Sensitivity of the NCEP/Noah land surface model to the MODIS green vegetation fraction data set. Geophys. Res. Lett. 2006, VOL. 33:L13404. 10.1029/2006GL026636.
40. Mitchell K.E., Lohmann D., Houser P.R., Wood E.F., Schaake J.C., Robock A., Cosgrove B.A., Sheffield J., Duan Q., Luo L.R., Higgins W., Pinker R.T.J., Tarpley D., Lettenmaier D.P., Marshall C.H., Entin J.K., Pan M., Shi W., Koren V., Meng J., Ramsay B.H., Bailey A.A. The multi-institution North American Land Data Assimilation System (NLDAS): utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. J. Geophys. Res., 2004, 109:D07S90. 10.1029/2003JD003823.
41. Mo K.C., Long L.N., Xia Y., Yang S.K., Schemm J.E., Ek M.B. Drought indices based on the climate forecast system reanalysis and ensemble NLDAS. J. Hydrometeorol. 2010, 12:185-210.
42. Niu G.-Y., Yang Z.-L., Mitchell K.E., Chen F., Ek M.B., Barlage M., Kumar A., Manning K., Niyogi D., Rosero E., Tewari M., Xia Y. The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements. J. Geophys. Res. 2011, 116:D12109. 10.1029/2010JD015139.
43. Noilhan J., Planton S. A simple parameterization of land surface processes for meteorological models. Mon. Weather Rev. 1989, 117:536-549.
44. Ollinger S.V., Richardson A.D., Martin M.E., Hollinger D.Y., Frolking S.E., Reich P.B., et al. Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks. Proc. Natl. Acad. Sci. USA 2008, 105:19336-19341.
45. Otkin J.A., Shafer Mark, Svoboda Mark, Wardlow Brian, Anderson Martha C., Hain Christopher, Basara Jeffrey Facilitating the use of drought early warning information through interactions with agricultural stakeholders. Bull. Am. Meteorol. Soc. 2015, 96:1073-1078.
46. Peters-Lidard C.D., Houser P.R., Tian Y., Kumar S.V., Geiger J., Olden S., Lighty L., Doty B., Dirmeyer P., Adams J., Mitchell K., Wood E.F., Sheffield J. High-performance earth system modeling with NASA/GSFC's land information system. Innov. Syst. Softw. Eng. 2007, 3:157-165.
47. Pozzi W., Justin Sheffield, Robert Stefanski, et al. Towards global drought early warning capability: expanding international cooperation for the development of a framework for global drought monitoring and forecasting. Bull. Am. Meteorol. Soc. 2013, 94(6):776-785. 10.1175/BAMS-D-11-00176.
48. Rao C.R.N., Chen J. Inter-satellite calibration linkages for the visible and near-infrared channels of the advanced very high resolution radiometer on the NOAA-7-9, and -11 spacecraft. Int. J. Remote Sens. 1995, 16:1931-1942.
49. Reichle R., Kumar S., Mahanama S., Koster R. Assimilation of satellite-derived skin temperature observations into land surface models. J. Hydrometeorol. 2010, 11:1103-1122.
50. Reichle R.H., Koster R.D. Bias reduction in short records of satellite soil moisture. Geophys. Res. Lett. 2004, 31:L19501. 10.1029/2004GL020938.
51. Rodell M., et al. The global land data assimilation system. Bull. Am. Meteorol. Soc. 2004, 85:381-394.
52. Román M.O., Schaaf C.B., Yang X., Woodcock C.E., Strahler A.H., Braswell R.H., Curtis P.S., Davis K.J., Dragoni D., Goulden M.L., Gu L., Hollinger D.Y., Kolb T.E., Meyers T.P., Munger J.W., Privette J.L., Richardson A.D., Wilson T.B., Wofsy S.C. The MODIS (collection V005) BRDF/albedo product: assessment of spatial representativeness over forested landscapes. Remote Sens. Environ. 2009, 113(11):2476-2498.
53. Román M.O., Gatebe C.K., Shuai Y., Wang Z., Gao F., Masek J.G., He T., Liang S., Schaaf C.B. Use of in situ and airborne multiangle data to assess MODIS- and Landsat-based estimates of directional reflectance and albedo. IEEE Trans. Geosci. Remote Sens. 2013, 51(3):1393-1404.
54. Ryu D., Crow W.T., Zhan X., Jackson T.J. Correcting unintended perturbation biases in hydrologic data assimilation. J. Hydrometerorol. 2008, 10:734-750.
55. Sheffield J., Goteti Gopi, Wood Eric F. Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling. J. Clim. 2006, 19:3088-3111.
56. Vernimmen R.R.E., Hooijer A., Mamenun E., Aldrian A.I.J.M., van Dijk Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia. Hydrol. Earth Syst. Sci. 2012, 16:133-146.
57. Weng F., Zou X., Wang X., Yang S., Goldberg M.D. Introduction to Suomi national polar-orbiting partnership advanced technology microwave sounder for numerical weather prediction and tropical cyclone applications. J. Geophys. Res. 2012, 117:D19112. 10.1029/2012JD018144.
58. Xia Y., Ek M.B., Wu Y., Ford T., Quiring S.M. Comparison of NLDAS-2 simulated and NASMD observed daily soil moisture. Part I: comparison and analysis. J. Hydrometeorol. 2015, 16:1962-1980.
59. Xia Y., Mitchell K., Sheffield E.K.M., Cosgrove J., Wood B., Luo E., Alonge L., Wei C., Meng H., Livneh J., Lettenmaier B., Koren D., Duan V., Mo Q., Fan K., Mocko Y.D. Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products. J. Geophys. Res. 2012, 117:D03109. 10.1029/2011JD016048.
60. Yin J., Zheng Y., Zhan X., Hain C.R., Zhai Q., Duan C., Wu R., Liu J., Fang L. An assessment of impacts of land-cover changes on root-zone soil moisture. Int. J. Remote Sens. 2015, 36(24):6116-6134. 10.1080/01431161.2015.1111539.
61. Yin J., Zhan X., Zheng Y., Liu J., Hain C.R., Fang L. Impact of quality control of satellite soil moisture data on their assimilation into land surface model. Geophys. Res. Lett. 2014, 41:7159-7166. 10.1002/2014GL060659.
62. Yin J., Zhan X., Zheng Y., Liu J., Fang L., Hain C. Enhancing model skill by assimilating SMOPS blended soil moisture product into noah land surface model. J. Hydrometeorol. 2015, 16(2):917-931.
63. Zeng X., Dickinson R.E., Walker A., Shaikh M., DeFries R.S., Qi J. Derivation and evaluation of global 1-km fractional vegetation cover data for land modeling. J. Appl. Meteorol. 2000, 39:826-839.
64. Zheng D., van der Velde R., Su Z., Booij M.J., Hoekstra A.Y., Wen J. Assessment of roughness length schemes implemented within the Noah land surface model for high-altitude regions. J. Hydrometeorol. 2014, 15:921-937.