management_modules package¶

Data management¶

data_handling module¶

Managing data and data handling

management_modules.data_handling.cbinding(inBinding)[source]¶

Check if variable in settings file has a counterpart in the source code

Parameters: inBinding – parameter in settings file

management_modules.data_handling.checkOption(inBinding)[source]¶

Check if option in settings file has a counterpart in the source code

Parameters: inBinding – parameter in settings file

management_modules.data_handling.checkOptionOptinal(inBinding)[source]¶

Test if parameter is a boolean and return an error message if not, and the boolean if everything is ok

Parameters: inBinding – parameter in settings file
Returns: boolean of inBinding

management_modules.data_handling.compressArray(map, name='None', zeros=0.0)[source]¶

Compress 2D array with missing values to 1D array without missing values

Parameters

map – in map
name – filename of the map
zeros – add zeros (default= 0) if values of map are to big or too small

Returns

Compressed 1D array

management_modules.data_handling.decompress(map, pcmap)[source]¶

Decompress 1D array without missing values to 2D array with missing values

Parameters

map – numpy 1D array as input
pcmap – if True map is used as .map format

Returns

2D array for displaying

management_modules.data_handling.divideValues(x, y, default=0.0)[source]¶

returns the result of a division that possibly involves a zero

Parameters

x –
y – divisor
default – return value if y =0

Returns

result of $x/y$ or default if y = 0

management_modules.data_handling.getmeta(key, varname, alternative)[source]¶

get the meta data information for the netcdf output from the global variable metaNetcdfVar

Parameters

key – key
varname – variable name eg self.var.Precipitation

Returns

metadata information

management_modules.data_handling.loadmap(name, lddflag=False, compress=True, local=False, cut=True)[source]¶

load a static map either value or pc raster map or netcdf

Parameters

name – name of map
lddflag – if True the map is used as a ldd map
compress – if True the return map will be compressed
local – if True the map is local and will be not cut
cut – if True the map will be not cut

Returns

1D numpy array of map

management_modules.data_handling.loadsetclone(name)[source]¶

load the maskmap and set as clone

Parameters: name – name of mask map, can be a file or - row col cellsize xupleft yupleft -
Returns: new mask map

management_modules.data_handling.mapattrNetCDF(name, check=True)[source]¶

get the 4 corners of a netcdf map to cut the map defines the rectangular of the mask map inside the netcdf map calls function management_modules.data_handling.readCoord()

Parameters

name – name of the netcdf file
check – checking if netcdffile exists

Returns

cut1,cut2,cut3,cut4

Raises

if cell size is different – management_modules.messages.CWATMError()

management_modules.data_handling.mapattrNetCDFMeteo(name, check=True)[source]¶

get the map attributes like col, row etc from a netcdf map and define the rectangular of the mask map inside the netcdf map calls function management_modules.data_handling.readCoordNetCDF()

Parameters

name – name of the netcdf file
check – checking if netcdffile exists

Returns

cut0,cut1,cut2,cut3,cut4,cut5,cut6,cut7

management_modules.data_handling.mapattrTiff(nf2)[source]¶

map attributes of a geotiff file

Parameters: nf2 –
Returns: cut0,cut1,cut2,cut3

management_modules.data_handling.maskfrompoint(mask2D, xleft, yup)[source]¶

load a static map either value or pc raster map or netcdf

Parameters

mask2D – 2D array of new mask
xleft – left lon coordinate
yup – upper lat coordinate

Returns

new mask map

management_modules.data_handling.metaNetCDF()[source]¶: get the map metadata from precipitation netcdf maps

management_modules.data_handling.multinetdf(meteomaps, startcheck='dateBegin')[source]¶

Parameters

meteomaps – list of meteomaps to define start and end time
startcheck – date of beginning simulation

Returns

Raises

if no map stack in meteo map folder – management_modules.messages.CWATMFileError()

management_modules.data_handling.readCoord(name)[source]¶

get the meta data information for the netcdf output from the global variable metaNetcdfVar

Parameters: name – name of the netcdf file
Returns: latitude, longitude, cell size, inverse cell size

management_modules.data_handling.readCoordNetCDF(name, check=True)[source]¶

reads the map attributes col, row etc from a netcdf map

Parameters

name – name of the netcdf file
check – checking if netcdffile exists

Returns

latitude, longitude, cell size, inverse cell size

Raises

if no netcdf map can be found – management_modules.messages.CWATMFileError()

management_modules.data_handling.readmeteodata(name, date, value='None', addZeros=False, zeros=0.0, mapsscale=True, modflowSteady=False)[source]¶

load stack of maps 1 at each timestamp in netcdf format

Parameters

name – file name
date –
value – if set the name of the parameter is defined
addZeros –
zeros – default value
mapsscale – if meteo maps have the same extend as the other spatial static m

Returns

Compressed 1D array of meteo data

Raises

if data is wrong – management_modules.messages.CWATMError()
if meteo netcdf file cannot be opened – management_modules.messages.CWATMFileError()

management_modules.data_handling.readnetcdf2(namebinding, date, useDaily='daily', value='None', addZeros=False, cut=True, zeros=0.0, meteo=False, usefilename=False, compress=True)[source]¶

load stack of maps 1 at each timestamp in netcdf format

Parameters

namebinding – file name in settings file
date –
useDaily – if True daily values are used
value – if set the name of the parameter is defined
addZeros –
cut – if True the map is clipped to mask map
zeros – default value
meteo – if map are meteo maps
usefilename – if True filename is given False: filename is in settings file
compress – True - compress data to 1D

Returns

Compressed 1D array of netcdf stored data

Raises

if netcdf file cannot be opened – management_modules.messages.CWATMFileError()
if netcdf file is not of the size of mask map – management_modules.messages.CWATMWarning()

management_modules.data_handling.readnetcdfInitial(name, value, default=0.0)[source]¶

load initial condition from netcdf format

Parameters

name – file name
value – netcdf variable name
default – (optional) if no variable is found a warning is given and value is set to default

Returns

Compressed 1D array of netcdf stored data

Raises

if netcdf file is not of the size of mask map – management_modules.messages.CWATMError()
if varibale name is not included in the netcdf file – management_modules.messages.CWATMWarning()

management_modules.data_handling.readnetcdfWithoutTime(name, value='None')[source]¶

load maps in netcdf format (has no time format)

Parameters

namebinding – file name in settings file
value – (optional) netcdf variable name. If not given -> last variable is taken

Returns

Compressed 1D array of netcdf stored data

management_modules.data_handling.report(name, valueIn, compr=True)[source]¶

For debugging: Save the 2D array as .map or .tif

Parameters

name – Filename of the map
valueIn – 1D or 2D array in
compr – (optional) array is 1D (default) or 2D

Returns

Example:
> report(c:/temp/ksat1.map, self.var.ksat1)

management_modules.data_handling.returnBool(inBinding)[source]¶

Test if parameter is a boolean and return an error message if not, and the boolean if everything is ok

Parameters: inBinding – parameter in settings file
Returns: boolean of inBinding

management_modules.data_handling.setmaskmapAttr(x, y, col, row, cell)[source]¶

Definition of cell size, coordinates of the meteo maps and maskmap

Parameters

x – upper left corner x
y – upper left corner y
col – number of cols
row – number of rows
cell – cell size

Returns

management_modules.data_handling.valuecell(coordx, coordstr)[source]¶

to put a value into a raster map -> invert of cellvalue, map is converted into a numpy array first

Parameters

coordx – x,y or lon/lat coordinate
coordstr – String of coordinates

Returns

1D array with new value

management_modules.data_handling.writeIniNetcdf(netfile, varlist, inputlist)[source]¶

write variables to netcdf init file

Parameters

netfile – file name
varlist – list of variable to be written in the netcdf file
inputlist – stack of 1D arrays

Returns

management_modules.data_handling.writenetcdf(netfile, prename, addname, varunits, inputmap, timeStamp, posCnt, flag, flagTime, nrdays=None, dateunit='days')[source]¶

write a netcdf stack

Parameters

netfile – file name
prename – 1st part of variable name with tell which variable e.g. discharge
addname – part of the variable name with tells about the timestep e.g. daily, monthly
varunits – unit of the variable
inputmap – 1D array to be put as netcdf
timeStamp – time
posCnt – calculate nummer of the indece for time
flag – to indicate if the file is new -> netcdf header has to be written,or simply appending data
flagtime – to indicate the variable is time dependend (not a single array!)
nrdays – (optional) if indicate number of days are set in the time variable (makes files smaller!)
dateunit – (optional) dateunit indicate if the timestep in netcdf is days, month or years

Returns

flag: to indicate if the file is set up

timestep module¶

Managing time

management_modules.timestep.Calendar(input, errorNo=0)[source]¶

Get the date from CalendarDayStart in the settings xml Reformatting the date till it fits to datetime

Parameters

input – string from the settingsfile should be somehow a date
errorNo – 0: check startdate, enddate 1: check startinit

Returns

a datetime date

management_modules.timestep.addmonths(d, x)[source]¶

Adds months to a date

Parameters

d – date
x – month to add

Returns

date with added months

management_modules.timestep.checkifDate(start, end, spinup)[source]¶

Checks if start date is earlier than end date etc And set some date variables

Parameters

start – start date
end – end date
spinup – date till no output is generated = warming up time

Returns

a list of date variable in: dateVar

management_modules.timestep.ctbinding(inBinding)[source]¶

Check if variable in settings file has a counterpart in source code

Parameters

x – variable in settings file to be tested

Returns

Raises

if variable is not found send an error: management_modules.messages.CWATMError()

management_modules.timestep.date2indexNew(date, nctime, calendar, select='nearest', name='')[source]¶

The original netCDF4 library cannot handle month and years Replace: date2index This one checks for days, month and years And set some date variables

Parameters

date – date
nctime – time unit of the netcdf file
select – (optional) which date is selected, default: nearest
name – (optional) name of th dataset

Returns

index

management_modules.timestep.date2str(date)[source]¶

Convert date to string of date e.g. 27/12/2018

Parameters: x – date as (datetime)
Returns: date string

management_modules.timestep.datetoInt(dateIn, begin, both=False)[source]¶

Calculates the integer of a date from a reference date

Parameters

dateIn – date
begin – reference date
both – if set to True both the int and the string of the date are returned

Returns

integer value of a date, starting from begin date

management_modules.timestep.datetosaveInit(initdates, begin, end)[source]¶

Calculates the save init dates

Parameters

initdates – one or several dates
begin – reference date
end – end date

Returns

integer value of a dates, starting from begin date

management_modules.timestep.timemeasure(name, loops=0, update=False, sample=1)[source]¶

Measuring of the time for each subroutine

Parameters

name – name of the subroutine
loops – if it it called several times this is added to the name
update –
sample –

Returns

add a string to the time measure string: timeMesString

management_modules.timestep.timestep_dynamic(self)[source]¶

Dynamic part of setting the date Current date is increasing, checking if beginning of month, year

Returns: a list of date variable in: dateVar

configuration module¶

Loading and parsing of the settings file

class management_modules.configuration.ExtParser(*args, **kwargs)[source]¶

Bases: configparser.ConfigParser

addition to the parser to replace placeholders

Example

PathRoot = C:/work MaskMap = $(FILE_PATHS:PathRoot)/data/areamaps/area.tif

get(section, option, raw=False, vars=None, **kwargs)[source]¶

def get(self, section, option, raw=False, vars=None placeholder replacement

Parameters

section – section part of the settings file
option – option part of the settings file
raw –
vars –

Returns

management_modules.configuration.parse_configuration(settingsFileName)[source]¶

Parse settings file

Parameters: settingsFileName – name of the settings file
Returns: parameters in list: binding, options in list: option

management_modules.configuration.read_metanetcdf(metaxml, name)[source]¶

Read the metadata for netcdf output files unit, long name, standard name and additional information

Parameters

metaxml – file mit information for netcdf files (metadata)
name – file name information

Returns

List with metadata information: metaNetcdfVar

management_modules.messages module¶

Error handling - giving out messages

exception management_modules.messages.CWATMError(msg)[source]¶

Bases: Exception

The error handling class prints out an error

Parameters: Warning – class CWATMError
Returns: prints out a message about an error

exception management_modules.messages.CWATMFileError(filename, msg='', sname='')[source]¶

Bases: management_modules.messages.CWATMError

The error handling class prints out an error

Parameters: Warning – class CWATMError
Returns: prints out a message about file error

exception management_modules.messages.CWATMRunInfo(outputDir, Steps=1, ensMembers=1, Cores=1)[source]¶

Bases: Warning

prints out an error

Parameters: Warning – class warning
Returns: prints out a message

Warning: warning given with a header and a message from the subroutine

exception management_modules.messages.CWATMWarning(msg)[source]¶

Bases: Warning

the error handling class prints out an error

Parameters: Warning – class warning
Returns: prints out a message

Handling output of CWATM

management_modules.output module¶

class management_modules.output.outputTssMap(out_variable)[source]¶

Bases: object

Class: Output of time series and map

dynamic(ef=False)[source]¶

Dynamic part of the output module Output of maps and timeseries

Parameters: ef – done with environmental flow

initial()[source]¶: Initial part of the output module

management_modules.checks module¶

Checking maps if they fit in

management_modules.checks.checkmap(*args, **kwargs)[source]¶

management_modules.checks.counted(fn)[source]¶

count number of times a subroutine is called

Parameters: fn –
Returns: number of times the subroutine is called

Program management¶

Global definition of variables

globals module¶

Global definition of variables

management_modules.globals.globalFlags(arg)[source]¶

Read flags - according to the flags the output is adjusted quiet,veryquiet, loud, checkfiles, noheader,printtime, warranty

Parameters: arg – argument from calling cwatm

dynamicModel module¶

Framework of initial and dynamic modules

class management_modules.dynamicModel.DynamicModel[source]¶

Bases: object

i = 1¶

class management_modules.dynamicModel.ModelFrame(model, lastTimeStep=1, firstTimestep=1)[source]¶

Bases: object

Frame of the dynamic hydrological model

lastTimeStep: Last time step to run firstTimestep: Starting time step of the model

run()[source]¶

Run the dynamic part of the model

Returns

replace_pcr module¶

Some pcr operation are done in numpy

management_modules.replace_pcr.npareaaverage(values, areaclass)[source]¶

numpy area average procedure

Parameters

values –
areaclass –

Returns

calculates the average area of a class

management_modules.replace_pcr.npareamajority(values, areaclass)[source]¶

numpy area majority procedure

Parameters

values –
areaclass –

Returns

calculates the majority of an area of a class

management_modules.replace_pcr.npareamaximum(values, areaclass)[source]¶

numpy area maximum procedure

Parameters

values –
areaclass –

Returns

calculates the maximum of an area of a class

management_modules.replace_pcr.npareatotal(values, areaclass)[source]¶

numpy area total procedure

Parameters

values –
areaclass –

Returns

calculates the total area of a class

management_modules package¶

Data management¶

data_handling module¶

timestep module¶

configuration module¶

management_modules.messages module¶

management_modules.output module¶

management_modules.checks module¶

Program management¶

globals module¶

dynamicModel module¶

replace_pcr module¶

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