All functions
          
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           AirDens()  
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        Air Density  | 
      
        
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           align.met()  
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        align.met  | 
      
        
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           browndog.met()  
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        get met data from browndog  | 
      
        
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           build_cf_variables_table_url()  
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        Construct a URL to a specific version of the CF variables table XML  | 
      
        
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           cfmet.downscale.daily()  
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        daily to subdaily downscaling  | 
      
        
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           cfmet.downscale.subdaily()  
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        subdaily downscaling  | 
      
        
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           cfmet.downscale.time()  
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        Downscale CF met data  | 
      
        
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           check_met_input_file()  
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        Check a meteorology data file for compliance with the PEcAn standard  | 
      
        
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           check_unit()  
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        Check that the unit of a variable in a NetCDF file is equivalent to
the expected unit.  | 
      
        
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           closest_xy()  
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        closest_xy  | 
      
        
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           col2ncvar()  
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        Create `ncvar` object from variable name  | 
      
        
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           cos_solar_zenith_angle()  
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        Cosine of solar zenith angle  | 
      
        
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           daygroup()  
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        Assign daygroup tag for a given date  | 
      
        
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           db.site.lat.lon()  
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        db.site.lat.lon  | 
      
        
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           debias.met.regression()  
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        debias.met.regression  | 
      
        
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           debias.met()  
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        debias_met  | 
      
        
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           download.Ameriflux()  
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        download.Ameriflux  | 
      
        
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           download.AmerifluxLBL()  
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        Download Ameriflux LBL CSV files  | 
      
        
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           download.CRUNCEP()  
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        Download CRUNCEP data  | 
      
        
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           download.FACE()  
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        download.FACE  | 
      
        
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           download.Fluxnet2015()  
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        download.Fluxnet2015  | 
      
        
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           download.FluxnetLaThuile()  
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        download.FluxnetLaThuile  | 
      
        
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           download.GFDL()  
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        Download GFDL CMIP5 outputs for a single grid point using OPeNDAP and convert to CF  | 
      
        
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           download.GLDAS()  
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        Download GLDAS data  | 
      
        
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           download.Geostreams()  
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        Download Geostreams data from Clowder API  | 
      
        
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           download.MACA()  
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        download.MACA  | 
      
        
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           download.MsTMIP_NARR()  
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        download.MsTMIP_NARR  | 
      
        
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           download.NARR()  
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        Download NARR files  | 
      
        
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           download.NARR_site()  
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        Download NARR time series for a single site  | 
      
        
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           download.NEONmet()  
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        Download NEON Site Met CSV files  | 
      
        
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           download.NLDAS()  
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        Download NLDAS met data  | 
      
        
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           download.NOAA_GEFS()  
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        Download NOAA GEFS Weather Data  | 
      
        
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           download.PalEON()  
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        download.PalEON  | 
      
        
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           download.PalEON_ENS()  
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        Download PalEON met ensemble files  | 
      
        
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           download.US_WCr()  
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        download.US-WCr  | 
      
        
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           equation_of_time()  
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        Equation of time: Eccentricity and obliquity  | 
      
        
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           exner()  
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        Exner function  | 
      
        
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           extract.local.CMIP5()  
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        extract.local.CMIP5  | 
      
        
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           extract.local.NLDAS()  
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        extract.local.NLDAS  | 
      
        
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           extract.nc()  
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        extract.nc  | 
      
        
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           gen.subdaily.models()  
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        gen.subdaily.models  | 
      
        
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           generate_narr_url()  
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        Generate NARR url from a vector of dates  | 
      
        
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           get.es()  
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        get es  | 
      
        
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           get.lv()  
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        Latent heat of vaporization  | 
      
        
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           get.ncvector()  
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        Get time series vector from netCDF file  | 
      
        
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           get.rh()  
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        get RH  | 
      
        
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           get.vpd()  
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        VPD  | 
      
        
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           get_NARR_thredds()  
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        Retrieve NARR data using thredds  | 
      
        
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           get_cf_variables_table()  
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        Retrieve the current CF variables table from cfconventions.org
and convert it into a data.frame  | 
      
        
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           get_clowderauth()  
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        Authentication lookup helper  | 
      
        
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           get_narr_url()  
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        Retrieve NARR data from a given URL  | 
      
        
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           latlon2lcc()  
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        Convert latitude and longitude to x-y coordinates (in km) in Lambert 
conformal conic projection (used by NARR)  | 
      
        
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           latlon2narr()  
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        Convert latitude and longitude coordinates to NARR indices  | 
      
        
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           lightME()  
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        Simulates the light macro environment  | 
      
        
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           lm_ensemble_sims()  
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        lm_ensemble_sims  | 
      
        
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           load.cfmet()  
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        load CF met  | 
      
        
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           merge_met_variable()  
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        Merge a new met variable from an external file (e.g. CO2) into existing met files  | 
      
        
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           met.process()  
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        met.process  | 
      
        
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           met.process.stage()  
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        met.process.stage  | 
      
        
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           met2CF.ALMA()  
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        met2CF.ALMA  | 
      
        
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           met2CF.Ameriflux()  
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        met2CF.Ameriflux  | 
      
        
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           met2CF.AmerifluxLBL()  
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        met2CF.AmerifluxLBL  | 
      
        
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           met2CF.FACE()  
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        convert FACE files to CF files  | 
      
        
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           met2CF.Geostreams()  
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        Convert geostreams JSON to CF met file  | 
      
        
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           met2CF.NARR()  
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        met2CF.NARR  | 
      
        
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           met2CF.PalEON()  
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        met2CF.PalEON  | 
      
        
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           met2CF.PalEONregional() met2CF.PalEONregional()  
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        met2CF.PalEONregional  | 
      
        
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           met2CF.csv()  
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        met2CF.csv  | 
      
        
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           met_temporal_downscale.Gaussian_ensemble()  
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        met_temporal_downscale.Gaussian_ensemble  | 
      
        
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           metgapfill.NOAA_GEFS()  
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        Gapfill NOAA_GEFS weather data  | 
      
        
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           metgapfill()  
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        Take an Ameriflux NetCDF file
Fill missing met values using MDS approach using MPI-BGC REddyProc library
Currently
Future version: Choose which variables to gap fill
Future version will first downscale and fill with NARR, then REddyProc  | 
      
        
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           model.train()  
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        model.train  | 
      
        
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           narr_flx_vars narr_sfc_vars narr_all_vars  
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        NARR flux and sfc variables  | 
      
        
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           nc.merge()  
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        nc.merge  | 
      
        
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           par2ppfd()  
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        par2ppfd  | 
      
        
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           pecan_standard_met_table  
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        Conversion table for PEcAn standard meteorology  | 
      
        
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           permute.nc()  
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        permute.nc  | 
      
        
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           post_process()  
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        Post process raw NARR downloaded data frame  | 
      
        
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           predict_subdaily_met()  
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        predict_subdaily_met  | 
      
        
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           prepare_narr_year()  
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        Write NetCDF file for a single year of data  | 
      
        
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           qair2rh()  
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        qair2rh  | 
      
        
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           read.register()  
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        read.register  | 
      
        
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           read_narr_var()  
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        Read a specific variable from a NARR NetCDF file  | 
      
        
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           rh2qair()  
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        RH to SH  | 
      
        
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           robustly()  
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        Adverb to try calling a function `n` times before giving up  | 
      
        
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           save.betas()  
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        save.betas  | 
      
        
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           save.model()  
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        save.model  | 
      
        
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           site.lst()  
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        site.lst  | 
      
        
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           site_from_tag()  
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        site_from_tag  | 
      
        
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           solarMJ2ppfd()  
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        MJ to PPFD  | 
      
        
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           spin.met()  
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        Spin-up meteorology  | 
      
        
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           split_wind()  
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        Split wind_speed into eastward_wind and northward_wind  | 
      
        
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           step_means()  
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        take mean at fixed intervals along a vector  | 
      
        
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           subdaily_pred()  
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        subdaily_pred  | 
      
        
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           sw2par()  
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        SW to PAR  | 
      
        
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           sw2ppfd()  
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        SW to PPFD  | 
      
        
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           temporal.downscale.functions()  
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        temporal_downscale_functions  | 
      
        
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           upscale_met()  
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        upscale_met  | 
      
        
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           wide2long()  
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        Wide to Long  |