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| 1 | +function [alt, temp, pres, relh, wins, wind, fname] = readMETncERA5(tRange, site, folder, varargin) |
| 2 | +% readMETnccloudnet read the cloudnet ecmwf netcdf file |
| 3 | +% |
| 4 | +% EXAMPLE: |
| 5 | +% [alt, temp, pres, relh] = readMETnccloudnet(tRange, site, folder) |
| 6 | +% |
| 7 | +% INPUTS: |
| 8 | +% tRange: 2-element array |
| 9 | +% search range. |
| 10 | +% site: char |
| 11 | +% the location for gdas1. Our server will automatically produce the |
| 12 | +% gdas1 products for all our pollynet location. You can find it in |
| 13 | +% /lacroshome/cloudnet/data/model/gdas1 |
| 14 | +% |
| 15 | +% KEYWORDS: |
| 16 | +% isUseLatestGDAS: logical |
| 17 | +% whether to search the latest available GDAS profile (default: false). |
| 18 | +% |
| 19 | +% OUTPUTS: |
| 20 | +% alt: array |
| 21 | +% altitute (above ground) for each range bin. [m] |
| 22 | +% temp: array |
| 23 | +% temperature for each range bin. If no valid data, NaN will be |
| 24 | +% filled. [C] |
| 25 | +% pres: array |
| 26 | +% pressure for each range bin. If no valid data, NaN will be filled. |
| 27 | +% [hPa] |
| 28 | +% rh: array |
| 29 | +% relative humidity for each range bin. If no valid data, NaN will be |
| 30 | +% filled. [%] |
| 31 | +% wins: array |
| 32 | +% wind speed [m/s] |
| 33 | +% wind: array |
| 34 | +% wind direction. [degree] |
| 35 | +% fname: char |
| 36 | +% filename (for legacy reasons the name is not changed). |
| 37 | +% |
| 38 | +% HISTORY: |
| 39 | +% - 2023-05-13.:First implementation by martin-rdz |
| 40 | +% |
| 41 | +% .. Authors: - radenz@tropos.de |
| 42 | + |
| 43 | +p = inputParser; |
| 44 | +p.KeepUnmatched = true; |
| 45 | + |
| 46 | +addRequired(p, 'tRange', @isnumeric); |
| 47 | +addRequired(p, 'site', @ischar); |
| 48 | +addRequired(p, 'folder', @ischar); |
| 49 | + |
| 50 | +parse(p, tRange, site, folder, varargin{:}); |
| 51 | + |
| 52 | +midTime = mean(tRange); |
| 53 | + |
| 54 | +[thisyear, thismonth, thisday, thishour, ~, ~] = datevec(midTime); |
| 55 | +% /oceanethome/model/ecmwf/profiles/ecmwf/2023/20230512_neumayer_ecmwf.nc |
| 56 | +fname = fullfile(folder, sprintf('%04d', thisyear), ... |
| 57 | + sprintf('%04d%02d%02d_%s_era5-1-12.nc', ... |
| 58 | + thisyear, thismonth, thisday, site)); |
| 59 | + |
| 60 | +disp(fname); |
| 61 | + |
| 62 | +% preallocate |
| 63 | +alt = NaN; |
| 64 | +pres = NaN; |
| 65 | +temp = NaN; |
| 66 | +relh = NaN; |
| 67 | +uwd =NaN; |
| 68 | +vwd = NaN; |
| 69 | +wins = NaN; |
| 70 | +wind =NaN; |
| 71 | + |
| 72 | +filenameList = dir(fname); |
| 73 | +if numel(filenameList) == 0 |
| 74 | + fprintf('ECMWF File (%s) does not exist.\n', fname); |
| 75 | + return; |
| 76 | +end |
| 77 | +% Open the netCDF file |
| 78 | +ncid = netcdf.open(fname, 'NOWRITE'); |
| 79 | + |
| 80 | + |
| 81 | +% Get information about the netCDF file |
| 82 | +nc_info = ncinfo(fname); |
| 83 | +% Extract the variable names |
| 84 | +var_names = {nc_info.Variables.Name}; |
| 85 | +% Display the variable names |
| 86 | +%disp(var_names); |
| 87 | + |
| 88 | +% Get the variable ID for the time variable and the variable of interest |
| 89 | +%time_varid = netcdf.inqVarID(ncid, 'time'); |
| 90 | +%data_varid = netcdf.inqVarID(ncid, 'variable_name'); |
| 91 | + |
| 92 | +% Read in the time variable and the variable of interest |
| 93 | +time = ncread(fname, 'time'); |
| 94 | +[~, ~, ~, hour, minute, second] = datevec(midTime); |
| 95 | +hour_fraction = hour + minute/60 + second/3600; |
| 96 | + |
| 97 | +disp(hour_fraction); |
| 98 | + |
| 99 | +% Find the index of the time value closest to the specified time |
| 100 | +[~, index] = min(abs(time - hour_fraction)); |
| 101 | + |
| 102 | +height = ncread(fname, 'height'); |
| 103 | +alt = height(:, index); |
| 104 | + |
| 105 | +% Extract the corresponding data |
| 106 | +data = ncread(fname, 'pressure'); |
| 107 | +pres = data(:, index) ./ 100.; |
| 108 | + |
| 109 | +data = ncread(fname, 'temperature'); |
| 110 | +temp = data(:, index) - 273.15; |
| 111 | + |
| 112 | +data = ncread(fname, 'rh'); |
| 113 | +relh = data(:, index) .* 100; |
| 114 | + |
| 115 | +data = ncread(fname, 'uwind'); |
| 116 | +uwd = data(:, index); |
| 117 | + |
| 118 | +data = ncread(fname, 'vwind'); |
| 119 | +vwd = data(:, index); |
| 120 | + |
| 121 | +wins = sqrt(uwd.^2 + vwd.^2); |
| 122 | +wind = atan2(vwd,uwd)*(180/pi); |
| 123 | + |
| 124 | +% Close the netCDF file |
| 125 | +netcdf.close(ncid); |
| 126 | + |
| 127 | +%#[pres, alt, temp, relh, wind, wins] = ceilo_bsc_ModelSonde(gdas1file); |
| 128 | + |
| 129 | +%pres = NaN; |
| 130 | +%alt = NaN; |
| 131 | +%temp = NaN; |
| 132 | +%relh = NaN; |
| 133 | +%wind = NaN; |
| 134 | +%wins = NaN; |
| 135 | + |
| 136 | +end |
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