This data set is an archive of monthly precipitation, maxiumum temperature, minimum temperature, mean monthly streamflow, and median monthly streamflow data for selected stations in the Khangai Mountain region.	
									
Monthly_Precipitation.tsv:										
Data:	Monthly precipitation timeseries from 41 stations and posts in Arkhangai, Bayankhongor, and Ovorkhangai aimags. 									
Source:	A majority of the data is from the Mongolian Research and Information Institute of Meteorology, Hydrology, and Environment (RIIMHE). 									
	Additional station data is from the United States National Oceanic and Atmospheric Administration National Climatic Data Center (http://ncdc.noaa.gov/)									
Units:	millimeters
									
Fields:	Station_Number refers to the unique station identifier (first 5 digits) assigned by the World Meteorological Organization.
	Station_Name may vary in spelling depending on data source.								
	Aimag is the aimag (province) that the station is located in and spelling may vary depending on data source.									
	Longitude and Latitude values were taken from several sources including a table of RIIMHE three digit station identifiers cross-referenced to other known station locations provided by the RIIMHE using World Meteorological Organization identifiers.									
	Other locations were approximated to coordinates of city names and in a few cases soum centroids.									
	Year Month is the year and month the data represents.									
	Monthly_P is the aggregate precipitation value for that month in millimeters.	
								
Methods: Original daily precipitation data were checked for obvious errors and values over 4 standard deviations from the mean were check for validity (see Harris et al., 2014)									
	If any data from the NCDC was identified as trace it was converted to 0.001 inches then converted to millimeters.									
	Missing data was assumed to be 0 when not explicitly identified as NA and values were summed per month. 									
	Note that timeseries are irregular and some months are not represented.  			
						
Monthly_Tmax.tsv:										
Data: 	Monthly maxiumum temperature timeseries from 38 stations and posts in Arkhangai, Bayankhongor, and Ovorkhangai aimags. 									
Source:	A majority of the data is from the Mongolian Research and Information Institute of Meteorology, Hydrology, and Environment (RIIMHE). 									
	Additional station data is from the United States National Oceanic and Atmospheric Administration National Climatic Data Center (http://ncdc.noaa.gov/)									
Units:	degrees Celsius

Fields:	Station_Number refers to the unique station identifier (first 5 digits) assigned by the World Meteorological Organization.								
	Station_Name may vary in spelling depending on data source.						
	Aimag is the aimag (province) that the station is located in and spelling may vary depending on data source.									
	Longitude and Latitude values were taken from several sources including a table of RIIMHE three digit station identifiers cross-referenced to other known station locations provided by the RIIMHE using World Meteorological Organization identifiers.									
	Other locations were approximated to coordinates of city names and in a few cases soum centroids.									
	Year Month is the year and month the data represents.									
	Monthly_Tmax is the average temperature value that month in degrees Celsius.		
							
Methods: Original daily temperature data were checked for obvious errors and values over 3 standard deviations from the mean were check for validity (see Harris et al., 2014)									
	At least 23 days of data (~75%) were needed for aggregation to monthly averages, otherwise the month is considered missing.								
	Note that timeseries are irregular and some months are not represented. 
 									
Monthly_Tmin.tsv:							
Data:	Monthly minimum temperature timeseries from 38 stations and posts in Arkhangai, Bayankhongor, and Ovorkhangai aimags. 									
Source:	A majority of the data is from the Mongolian Research and Information Institute of Meteorology, Hydrology, and Environment (RIIMHE). 									
	Additional station data is from the United States National Oceanic and Atmospheric Administration National Climatic Data Center (http://ncdc.noaa.gov/)									
Units:	degrees Celsius

Fields:	Station_Number refers to the unique station identifier (first 5 digits) assigned by the World Meteorological Organization.								
	Station_Name may vary in spelling depending on data source.				
	Aimag is the aimag (province) that the station is located in and spelling may vary depending on data source.									
	Longitude and Latitude values were taken from several sources including a table of RIIMHE three digit station identifiers cross-referenced to other known station locations provided by the RIIMHE using World Meteorological Organization identifiers.				
	Other locations were approximated to coordinates of city names and in a few cases soum centroids.									
	Year Month is the year and month the data represents.									
	Monthly_Tmin is the average temperature value that month in degrees Celsius.			
						
Methods: Original daily temperature data were checked for obvious errors and values over 3 standard deviations from the mean were check for validity (see Harris et al., 2014)									
	At least 23 days of data (~75%) were needed for aggregation to monthly averages, otherwise the month is considered missing.	
								
Monthly_Mean Streamflow.tsv:										
Data:	Monthly mean streamflow timeseries from 6 gages in Arkhangai, Bayankhongor, and Ovorkhangai aimags. 									
Source:	The data is from the Mongolian Research and Information Institute of Meteorology, Hydrology, and Environment (RIIMHE). 									
Units:	cubic meters per second									
Fields:	Gage_Name may vary in spelling depending on data source.									
	River_Name may vary in spelling depending on data source.									
	Aimag is the aimag (province) that the station is located in and spelling may vary depending on data source.									
	Longitude and Latitude values were taken from RIIMHE sources but some stations reflect adjustments from ArcHydro basin delineation procedures. 									
	Year Month is the year and month the data represents.									
	Monthly_Mean_Q is the average streamflow value that month in cubic meters per second.									
Methods: Original daily streamflow data were checked for obvious errors and values over 3 standard deviations from the mean were check for validity (see Harris et al., 2014)									
	At least 23 days of data (~75%) were needed for aggregation to monthly averages, otherwise the month is considered missing.									
										
Monthly_Median_Streamflow.tsv:										
Data:	Monthly median streamflow timeseries from 6 gages in Arkhangai, Bayankhongor, and Ovorkhangai aimags. 									
Source:	The data is from the Mongolian Research and Information Institute of Meteorology, Hydrology, and Environment (RIIMHE). 									
Units:	cubic meters per second									
Fields:	Gage_Name may vary in spelling depending on data source.									
	River_Name may vary in spelling depending on data source.									
	Aimag is the aimag (province) that the station is located in and spelling may vary depending on data source.									
	Longitude and Latitude values were taken from RIIMHE sources but some stations reflect adjustments from ArcHydro basin delineation procedures. 									
	Year Month is the year and month the data represents.									
	Monthly_Median_Q is the median streamflow value that month in cubic meters per second.									
Methods: Original daily streamflow data were checked for obvious errors and values over 3 standard deviations from the mean were check for validity (see Harris et al., 2014)									
	At least 23 days of data (~75%) were needed for aggregation to monthly averages, otherwise the month is considered missing.									
										
References: Harris I, Jones PD, Osborn TJ, and Lister DH, 2014. Updated high-resolution grids of monthly climatic observations  the CRU TS3.10 Dataset. International Journal of Climatology, 34, 623642. doi:10.1002/joc.3711.									
Archived by: Niah Venable, Colorado State University, 2016-02-17										
										
										
										
										
										
										
										
										
										
