% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 15257 % Primary Name: DUM DOOMA /SOOKERATING AAB % Record Type: TAVG % Country: India % Latitude: 27.56600 +/- 0.00050 % Longitude: 95.56600 +/- 0.00050 % Elevation (m): 130.00 +/- 0.05 % # of Months: 31 % % IDs: ghcnd - IN003050100 % gsod - 749244-99999 % usaf - 749244 % % Sources: Global Historical Climatology Network - Daily % Global Summary of the Day % % Site Hash: 08904d3bb1cfe928a47dc591befe85e5 % Raw Data Hash: eeca0bf884ad6b913721a8ead689c834 % Adj Data Hash: ad57d453747c23cb2517a6610673b45e % % 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 1942 4 NaN NaN NaN NaN NaN NaN 19.947 0.438 1942 5 NaN NaN NaN NaN NaN NaN 22.249 0.073 1942 6 NaN NaN NaN NaN NaN NaN 24.344 0.045 1942 7 NaN NaN NaN NaN NaN NaN 25.861 0.834 1942 8 NaN NaN NaN NaN NaN NaN 25.307 0.336 1942 9 NaN NaN NaN NaN NaN NaN 24.122 0.085 1942 10 NaN NaN NaN NaN NaN NaN 22.040 1.070 1942 11 NaN NaN NaN NaN NaN NaN 17.288 0.473 1942 12 NaN NaN NaN NaN NaN NaN 12.662 -0.412 1943 1 NaN NaN NaN NaN NaN NaN 12.309 0.403 1943 2 NaN NaN NaN NaN NaN NaN 13.370 -0.584 1943 3 NaN NaN NaN NaN NaN NaN 16.164 -0.847 1943 4 22.870 0.201 1 0 NaN NaN 18.403 -1.106 1943 5 26.172 0.835 0 0 26.172 0.835 22.314 0.138 1943 6 28.393 0.933 0 0 28.393 0.933 24.905 0.606 1943 7 29.572 1.383 0 0 29.572 1.383 25.758 0.730 1943 8 28.122 -0.010 0 0 28.122 -0.010 24.922 -0.049 1943 9 28.085 0.888 0 0 28.085 0.888 24.394 0.358 1943 10 25.192 1.061 0 0 25.192 1.061 20.966 -0.004 1943 11 21.283 1.308 0 0 21.283 1.308 17.919 1.104 1943 12 15.918 -0.317 0 0 15.918 -0.317 13.043 -0.031 1944 1 14.649 -0.418 0 0 14.649 -0.418 11.285 -0.622 1944 2 16.724 -0.391 1 0 NaN NaN 13.324 -0.630 1944 3 20.677 0.506 0 0 20.677 0.506 17.572 0.562 1944 4 22.331 -0.337 0 0 22.331 -0.337 18.808 -0.700 1944 5 24.864 -0.473 0 0 24.864 -0.473 21.670 -0.506 1944 6 26.859 -0.600 0 0 26.859 -0.600 24.211 -0.088 1944 7 28.222 0.034 0 0 28.222 0.034 25.290 0.262 1944 8 27.950 -0.182 0 0 27.950 -0.182 25.503 0.532 1944 9 25.739 -1.459 0 0 25.739 -1.459 23.189 -0.847 1944 10 24.109 -0.021 0 0 24.109 -0.021 21.212 0.243 1944 11 19.456 -0.520 0 0 19.456 -0.520 16.706 -0.109 1944 12 17.303 1.068 0 0 17.303 1.068 14.004 0.931 1945 1 15.113 0.046 0 0 15.113 0.046 11.890 -0.016 1945 2 15.799 -1.316 1 0 NaN NaN 12.461 -1.493 1945 3 20.799 0.628 0 0 20.799 0.628 17.559 0.549 1945 4 23.967 1.298 0 0 23.967 1.298 20.652 1.143 1945 5 24.819 -0.518 0 0 24.819 -0.518 21.632 -0.544 1945 6 28.167 0.707 0 0 28.167 0.707 25.045 0.746 1945 7 27.749 -0.439 0 0 27.749 -0.439 24.937 -0.091 1945 8 27.143 -0.988 0 0 27.143 -0.988 24.648 -0.323 1945 9 27.343 0.145 0 0 27.343 0.145 24.619 0.582 1945 10 25.877 1.746 1 0 NaN NaN 20.345 -0.625 1945 11 NaN NaN NaN NaN NaN NaN 16.910 0.095 1945 12 NaN NaN NaN NaN NaN NaN 12.543 -0.531 1946 1 NaN NaN NaN NaN NaN NaN 12.902 0.996 1946 2 NaN NaN NaN NaN NaN NaN 15.598 1.644 1946 3 NaN NaN NaN NaN NaN NaN 17.352 0.341 1946 4 NaN NaN NaN NaN NaN NaN 19.892 0.383 1946 5 NaN NaN NaN NaN NaN NaN 22.535 0.359 1946 6 NaN NaN NaN NaN NaN NaN 24.681 0.382 1946 7 NaN NaN NaN NaN NaN NaN 24.825 -0.203 1946 8 NaN NaN NaN NaN NaN NaN 25.990 1.019 1946 9 NaN NaN NaN NaN NaN NaN 24.636 0.600 1946 10 NaN NaN NaN NaN NaN NaN 20.662 -0.308