This function interfaces the Global Runoff Data Centre monthly mean daily discharges database.
tsGRDC(stationID, plotOption = FALSE)7 string that identifies a station, GRDC station number is called "grdc no" in the catalogue.
boolean to define whether to plot the results. By default this is set to TRUE.
The function returns a list of 6 tables:
LTVDThis is a table containing seasonal variability of river discharge based on original daily data. It is made of 8 columns:
LTV_LMM_Monthly__MM: calendar month
LTV_LDM_Day__Value: lowest daily discharge value in each calendar month in the given time series, calculated from lowest values of each calendar month in consecutive calendar years.
LTV_LDM_Day__YYYY_MM_DD: Date of occurrence of lowest daily discharge
LTV_MDM_Day__MM: calendar month
LTV_MDM_Day__Value: mean of daily discharge values in each calendar month in the given time series, calculated from monthly means of each calendar month in consecutive calendar years.
LTV_HDM_Day__MM: calendar month
LTV_HDM_Day__Value: highest daily discharge value in each calendar month in the given time series, calculated from highest values of each calendar month in consecutive calendar years.
LTV_HDM_Day__YYYY_MM_DD: Date of occurrence of highest daily discharge
LTVMThis is a table containing seasonal variability of river discharge based on monthly data. It is made of 8 columns:
LTV_LMM_Monthly__MM: calendar month
LTV_LMM_Monthly__Value: lowest monthly discharge value in each calendar month in the given time series, calculated from lowest values of each calendar month in consecutive calendar years.
LTV_LMM_Monthly__YYYY_MM_DD: Date of occurrence of lowest monthly discharge
LTV_MMM_Month__MM: calendar month
LTV_MMM_Month__Value: mean of monthly discharge values in each calendar month in the given time series, calculated from values of each calendar month in consecutive calendar years..
LTV_HMM_Month__MM: calendar month
LTV_HMM_Month__Value: highest monthly discharge value in each calendar month in the given time series, calculated from highest values of each calendar month in consecutive calendar years.
LTV_HMM_Month__YYYY_MM_DD: Date of occurrence of highest monthly discharge
PVDThis is a table containing ... It is made of 7 columns:
LQ_Day__Value: lowest daily discharge value in the given time series, calculated from lowest values of consecutive calendar years.
LQ_Day__YYYY_MM_DD: Date of occurrence of lowest daily discharge
MLQ_Day__Value: mean of lowest daily discharge values in the given time series, calculated from lowest values of consecutive calendar years.
MQ_Day__Value: mean of daily discharge values in the given time series, calculated from yearly means of consecutive calendar years.
MHQ_Day__Value: mean of highest daily discharge values in the given time series, calculated from highest values of consecutive calendar years.
HQ_Day__Value: highest daily discharge value in the given time series, calculated from highest values of consecutive calendar years.
HQ_Day__YYYY_MM_DD: Date of occurrence of highest daily discharge
PVMThis is a table containing ... It is made of 5 columns:
LQ_Month__Value: lowest monthly discharge value in the given time series, calculated from lowest yearly values of consecutive calendar years.
LQ_Month__YYYY_MM: month of first occurence of lowest monthly discharge
MQ_Month__Value: mean of monthly discharge values in the given time series, calculated from yearly means of consecutive calendar years.
HQ_Month__Value: highest monthly discharge value in the given time series, calculated from highest yearly values of consecutive calendar years.
HQ_Month__YYYY_MM: month of first occurence of highest monthly discharge
YVDThis is a table containing ... It is made of 12 columns:
Year_Min_Day__YYYY: calender year
Year_Min_Day__Value: Lowest daily discharge value in the given calendar year, calculated from 12 lowest monthly values in the year in question.
Year_Min_Day__YYYY_MM_DD: date of first occurence
Year_Mean_Min_Day__YYYY: calender year
Year_Mean_Min_Day__Value: mean of lowest daily discharge values in the given calendar year, calculated from 12 lowest monthly values in the year in question.
Year_Mean_Day__YYYY: calender year
Year_Mean_Day__Value: Mean of daily discharge values in the given calendar year, calculated from 12 monthly means in the year in question.
Year_Mean_Max_Day__YYYY: calender year
Year_Mean_Max_Day__Value: mean of highest daily discharge values in the given calendar year, calculated from 12 highest monthly values in the year in question.
Year_Max_Day__YYYY: calender year
Year_Max_Day__Value: highest daily discharge value in the given calendar year, calculated from 12 highest monthly values in the year in question.
Year_Max_Day__YYYY_MM_DD: date of first occurence
YVMThis is a table containing ... It is made of 8 columns:
Year_Min_Month__YYYY: calender year
Year_Min_Month__Value: lowest monthly discharge value in the given calendar year, calculated from 12 monthly values in the year in question.
Year_Min_Month__YYYY_MM: month of first occurence
Year_Mean_Month__Value: mean of monthly discharge values in the given calendar year, calculated from 12 monthly values in the year in question.
Year_Max_Month__YYYY: calender year
Year_Max_Month__Value: highest monthly discharge value in the given calendar year, calculated from 12 monthly values in the year in question.
Year_Max_Month__YYYY_MM: month of first occurence
Please note that not all the GRDC stations listed in the catalogue have monthly data available.
# NOT RUN {
Adaitu <- tsGRDC(stationID = "1577602")
Adaitu <- tsGRDC(stationID = catalogueGRDC()$grdc_no[1000],
plotOption = TRUE)
# }
# NOT RUN {
# }
Run the code above in your browser using DataLab