内布拉斯加大学绿叶项目网站的土壤湿度模型——Newhall Simulation Model

hillside

http://greenleaf.unl.edu/

1. IntroductionThe Newhall program was translated to C from a BASIC program and several modifications were made. This Newhall program is run on a time-sequence of monthly climate data, and approximates the daily soil moisture condition (dry, moist/dry, and moist in the control section) and biologically significant temperature thresholds (at 50mm depth). The time-series of moisture and temperature class are summarized according to the criteria of Soil Taxonomy (USDA NRCS Soil Survey Staff, 1999), thereby classifying the site. A description of how to use the program is given in the Usage and Usage Examples sections. The necessary input files are explained in the Input Files section and the Output Files section explains what files the program writes to and where they are.…………

4. Input Files
Currently, the program requires several specifically named input files. These three input files are:
monthly_T, monthly_P, and parameter.
monthly_T
These files hold the temperature data (in degree F) for a station. Each line starts with the year followed by 12 temperature entries. The temperature is the average monthly temperature. The example shown is from monthly_T.
1893 14.371 14.000 26.435 44.250 54.645 70.683 73.355 69.323 63.600 48.806 32.867 19.161
1894 12.705 14.979 37.984 49.700 61.209 71.463 77.935 74.312 65.283 51.516 34.767 29.548
1895 12.519 17.964 33.994 54.506 60.411 66.172 70.548 69.622 65.288 44.795 32.433 23.333
1896 23.258 27.397 26.425 48.833 62.790 68.054 71.365 70.677 57.991 46.355 21.154 28.597
monthly_P
These files hold the precipitation data (in Inch) for a station. Each line starts with the year followed by 12 precipitation entries. The precipitation is the total monthly precipitation. The example shown is from monthly_P.
1893 0.610 1.500 1.730 4.050 1.950 0.790 3.020 2.570 1.430 0.850 1.260 2.350
1894 0.700 0.550 0.580 4.240 2.430 1.150 0.580 1.480 0.550 1.760 0.050 1.000
1895 0.650 0.540 0.520 3.980 2.380 6.240 2.320 3.920 4.770 0.060 1.040 0.000
1896 0.250 0.270 1.670 5.680 6.240 7.740 5.550 1.660 1.810 3.230 3.850 0.230
parameter
The parameter file contains seven……

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kongfeng0824

看介绍应该是经验统计模型，最近正在寻找机理性的模型

黎明的夕阳

学习学习。谢谢共享

小Q的梦

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