% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 15166 % Primary Name: CHAKULIA INDIA % Record Type: TAVG % Country: India % Latitude: 22.45000 +/- 0.00500 % Longitude: 86.70000 +/- 0.00500 % Elevation (m): 131.00 +/- 0.05 % # of Months: 30 % % IDs: gsod - 749235-99999 % usaf - 749235 % % Sources: Global Summary of the Day % % Site Hash: ae2461ec395f7dc6e8ef905324ab1f3c % Raw Data Hash: 0957751143535e4683499b703d32bd5c % Adj Data Hash: 733d20ac76229d77844c7bcfde30361b % % 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 1941 11 NaN NaN NaN NaN NaN NaN 21.299 -0.687 1941 12 NaN NaN NaN NaN NaN NaN 18.947 0.687 1942 1 NaN NaN NaN NaN NaN NaN 17.943 -0.104 1942 2 NaN NaN NaN NaN NaN NaN 20.827 -0.517 1942 3 NaN NaN NaN NaN NaN NaN 26.793 0.272 1942 4 NaN NaN NaN NaN NaN NaN 29.923 -0.498 1942 5 NaN NaN NaN NaN NaN NaN 32.849 1.129 1942 6 NaN NaN NaN NaN NaN NaN 31.642 1.348 1942 7 NaN NaN NaN NaN NaN NaN 27.955 -0.229 1942 8 NaN NaN NaN NaN NaN NaN 27.335 -0.625 1942 9 NaN NaN NaN NaN NaN NaN 26.875 -0.863 1942 10 NaN NaN NaN NaN NaN NaN 25.708 -0.242 1942 11 25.309 2.167 0 0 25.309 2.167 22.700 0.714 1942 12 21.799 2.383 0 0 21.799 2.383 18.398 0.139 1943 1 22.559 3.356 0 0 22.559 3.356 19.654 1.607 1943 2 21.482 -1.018 0 0 21.482 -1.018 19.599 -1.745 1943 3 27.511 -0.167 0 0 27.511 -0.167 26.493 -0.029 1943 4 29.350 -2.228 0 0 29.350 -2.228 28.612 -1.810 1943 5 31.649 -1.227 0 0 31.649 -1.227 31.979 0.259 1943 6 30.311 -1.139 0 0 30.311 -1.139 29.990 -0.304 1943 7 29.102 -0.238 0 0 29.102 -0.238 27.585 -0.600 1943 8 27.803 -1.313 0 0 27.803 -1.313 27.336 -0.624 1943 9 27.981 -0.912 0 0 27.981 -0.912 27.563 -0.175 1943 10 26.726 -0.381 0 0 26.726 -0.381 26.382 0.431 1943 11 22.761 -0.381 0 0 22.761 -0.381 21.854 -0.132 1943 12 20.061 0.646 0 0 20.061 0.646 18.818 0.559 1944 1 19.491 0.288 0 0 19.491 0.288 18.102 0.055 1944 2 21.435 -1.065 0 0 21.435 -1.065 20.366 -0.977 1944 3 26.000 -1.678 0 0 26.000 -1.678 25.042 -1.480 1944 4 29.224 -2.354 0 0 29.224 -2.354 28.200 -2.222 1944 5 33.762 0.886 0 0 33.762 0.886 33.150 1.430 1944 6 31.515 0.065 0 0 31.515 0.065 31.100 0.806 1944 7 27.814 -1.527 0 0 27.814 -1.527 27.326 -0.858 1944 8 27.901 -1.215 0 0 27.901 -1.215 27.421 -0.539 1944 9 28.176 -0.718 0 0 28.176 -0.718 27.746 0.008 1944 10 26.034 -1.073 0 0 26.034 -1.073 25.187 -0.764 1944 11 22.739 -0.403 0 0 22.739 -0.403 21.414 -0.572 1944 12 21.237 1.821 0 0 21.237 1.821 19.636 1.376 1945 1 19.063 -0.140 0 0 19.063 -0.140 17.406 -0.641 1945 2 22.603 0.104 0 0 22.603 0.104 20.276 -1.068 1945 3 29.106 1.428 0 0 29.106 1.428 27.284 0.763 1945 4 29.622 -1.956 0 0 29.622 -1.956 28.827 -1.595 1945 5 NaN NaN NaN NaN NaN NaN 31.178 -0.542 1945 6 NaN NaN NaN NaN NaN NaN 30.755 0.461 1945 7 NaN NaN NaN NaN NaN NaN 28.007 -0.177 1945 8 NaN NaN NaN NaN NaN NaN 28.280 0.320 1945 9 NaN NaN NaN NaN NaN NaN 27.546 -0.192 1945 10 NaN NaN NaN NaN NaN NaN 25.028 -0.922 1945 11 NaN NaN NaN NaN NaN NaN 21.212 -0.774 1945 12 NaN NaN NaN NaN NaN NaN 16.901 -1.358 1946 1 NaN NaN NaN NaN NaN NaN 18.247 0.200 1946 2 NaN NaN NaN NaN NaN NaN 22.323 0.979 1946 3 NaN NaN NaN NaN NaN NaN 26.445 -0.076 1946 4 NaN NaN NaN NaN NaN NaN 27.715 -2.707