% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 18679 % Primary Name: DOSSO % Record Type: TAVG % Country: Niger % Latitude: 13.03300 +/- 0.00050 % Longitude: 3.30000 +/- 0.00050 % Elevation (m): 218.78 +/- 6.28 % # of Months: 47 % % IDs: gsod - 610530-99999 % icao - DRRD % usaf - 610530 % wmo - 61053 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 6a75b60209ef4d56177ba70b8f1a7d9b % Raw Data Hash: 09f26e86ee18fbe15966cef28fdec4a8 % Adj Data Hash: ed092316d91a538ae84ad0a23b4347f4 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 2009 1 NaN NaN NaN NaN NaN NaN 26.821 1.312 2009 2 NaN NaN NaN NaN NaN NaN 31.293 2.836 2009 3 NaN NaN NaN NaN NaN NaN 33.035 1.325 2009 4 NaN NaN NaN NaN NaN NaN 33.905 1.091 2009 5 NaN NaN NaN NaN NaN NaN 32.655 1.118 2009 6 NaN NaN NaN NaN NaN NaN 30.065 0.983 2009 7 NaN NaN NaN NaN NaN NaN 27.951 0.888 2009 8 NaN NaN NaN NaN NaN NaN 27.087 1.035 2009 9 NaN NaN NaN NaN NaN NaN 27.617 0.809 2009 10 NaN NaN NaN NaN NaN NaN 29.256 0.790 2009 11 NaN NaN NaN NaN NaN NaN 28.233 0.484 2009 12 NaN NaN NaN NaN NaN NaN 27.640 2.002 2010 1 25.885 0.116 1 0 NaN NaN 27.701 2.193 2010 2 29.232 0.515 1 0 NaN NaN 31.638 3.181 2010 3 32.371 0.401 1 0 NaN NaN 33.292 1.582 2010 4 35.190 2.116 1 0 NaN NaN 34.494 1.680 2010 5 34.050 2.252 0 0 34.050 2.252 32.667 1.130 2010 6 30.969 1.627 0 0 30.969 1.627 29.507 0.426 2010 7 28.550 1.227 0 0 28.550 1.227 27.655 0.593 2010 8 27.070 0.758 0 0 27.070 0.758 26.727 0.676 2010 9 28.167 1.098 0 0 28.167 1.098 27.234 0.426 2010 10 30.095 1.369 0 0 30.095 1.369 28.879 0.413 2010 11 28.928 0.920 1 0 NaN NaN 29.090 1.341 2010 12 24.581 -1.317 0 0 24.581 -1.317 26.097 0.459 2011 1 24.478 -1.290 0 0 24.478 -1.290 25.791 0.283 2011 2 29.173 0.456 0 0 29.173 0.456 30.605 2.148 2011 3 32.347 0.377 0 0 32.347 0.377 33.470 1.760 2011 4 33.796 0.722 0 0 33.796 0.722 33.725 0.910 2011 5 34.354 2.556 0 0 34.354 2.556 32.661 1.123 2011 6 31.538 2.196 0 0 31.538 2.196 29.833 0.752 2011 7 29.199 1.876 0 0 29.199 1.876 28.254 1.191 2011 8 27.561 1.249 0 0 27.561 1.249 26.832 0.781 2011 9 28.931 1.862 0 0 28.931 1.862 27.598 0.790 2011 10 30.929 2.203 0 0 30.929 2.203 29.609 1.143 2011 11 27.539 -0.470 0 0 27.539 -0.470 28.208 0.460 2011 12 24.387 -1.512 0 0 24.387 -1.512 25.450 -0.188 2012 1 24.391 -1.378 0 0 24.391 -1.378 26.100 0.592 2012 2 29.105 0.388 0 0 29.105 0.388 30.309 1.853 2012 3 30.726 -1.244 0 0 30.726 -1.244 32.018 0.309 2012 4 34.877 1.802 0 0 34.877 1.802 34.168 1.354 2012 5 33.348 1.550 0 0 33.348 1.550 31.575 0.038 2012 6 31.011 1.670 0 0 31.011 1.670 29.112 0.031 2012 7 27.800 0.477 0 0 27.800 0.477 26.723 -0.340 2012 8 26.771 0.459 0 0 26.771 0.459 26.297 0.245 2012 9 28.343 1.274 0 0 28.343 1.274 27.202 0.394 2012 10 29.995 1.269 0 0 29.995 1.269 29.384 0.918 2012 11 28.741 0.732 0 0 28.741 0.732 29.374 1.625 2012 12 25.613 -0.286 0 0 25.613 -0.286 26.768 1.130 2013 1 24.970 -0.799 0 0 24.970 -0.799 26.409 0.901 2013 2 28.000 -0.717 0 0 28.000 -0.717 29.828 1.371 2013 3 33.122 1.152 0 0 33.122 1.152 33.979 2.270 2013 4 33.422 0.348 0 0 33.422 0.348 32.956 0.142 2013 5 33.900 2.102 0 0 33.900 2.102 32.346 0.809 2013 6 31.322 1.980 0 0 31.322 1.980 29.682 0.601 2013 7 28.541 1.218 0 0 28.541 1.218 27.783 0.720 2013 8 26.575 0.263 0 0 26.575 0.263 26.118 0.067 2013 9 28.472 1.404 0 0 28.472 1.404 27.388 0.580 2013 10 29.489 0.763 0 0 29.489 0.763 29.248 0.782 2013 11 27.545 -0.464 1 0 NaN NaN NaN NaN