% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27810 % Primary Name: DELHI % Record Type: TAVG % Country: United States % State: LA % Latitude: 32.45000 +/- 0.00500 % Longitude: -91.50000 +/- 0.00500 % Elevation (m): 31.09 +/- 0.15 % # of Months: 22 % % Alternate Names: Missing Station ID - 162399 % % IDs: coop - 162399 % ghcnd - USC00162399 % ncdc - 20009013 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 1f4a02aea6be5729ddc5b3a3bcba6314 % Raw Data Hash: 2f40c5794266a0416c598c9dd24607d0 % Adj Data Hash: 08bd2b005318cbed002c36b87402c6a9 % % 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 1923 6 NaN NaN NaN NaN NaN NaN 25.730 -0.570 1923 7 NaN NaN NaN NaN NaN NaN 26.289 -1.535 1923 8 NaN NaN NaN NaN NaN NaN 26.715 -0.551 1923 9 NaN NaN NaN NaN NaN NaN 24.251 -0.100 1923 10 NaN NaN NaN NaN NaN NaN 16.667 -1.436 1923 11 NaN NaN NaN NaN NaN NaN 11.515 -0.900 1923 12 NaN NaN NaN NaN NaN NaN 12.281 3.967 1924 1 NaN NaN NaN NaN NaN NaN 4.140 -2.569 1924 2 NaN NaN NaN NaN NaN NaN 7.674 -1.157 1924 3 NaN NaN NaN NaN NaN NaN 10.226 -2.875 1924 4 NaN NaN NaN NaN NaN NaN 17.814 -0.375 1924 5 NaN NaN NaN NaN NaN NaN 19.857 -2.687 1924 6 28.929 2.172 1 0 NaN NaN 27.737 1.437 1924 7 26.990 -1.289 0 0 26.990 -1.289 27.356 -0.468 1924 8 28.506 0.784 0 0 28.506 0.784 28.379 1.112 1924 9 22.853 -1.953 0 0 22.853 -1.953 23.140 -1.210 1924 10 NaN NaN NaN NaN NaN NaN 18.581 0.478 1924 11 NaN NaN NaN NaN NaN NaN 13.978 1.563 1924 12 10.058 1.288 0 0 10.058 1.288 8.135 -0.179 1925 1 8.092 0.927 0 0 8.092 0.927 6.590 -0.119 1925 2 12.919 3.633 1 0 NaN NaN 11.269 2.438 1925 3 15.408 1.851 0 0 15.408 1.851 14.322 1.220 1925 4 21.228 2.584 0 0 21.228 2.584 20.661 2.472 1925 5 21.642 -1.358 0 0 21.642 -1.358 21.355 -1.190 1925 6 27.895 1.139 0 0 27.895 1.139 28.127 1.826 1925 7 28.537 0.257 0 0 28.537 0.257 28.305 0.481 1925 8 27.305 -0.418 0 0 27.305 -0.418 27.059 -0.208 1925 9 28.330 3.524 0 0 28.330 3.524 28.483 4.132 1925 10 22.500 3.941 1 0 NaN NaN 17.504 -0.599 1925 11 11.851 -1.020 1 0 NaN NaN 11.773 -0.643 1925 12 7.782 -0.988 0 0 7.782 -0.988 6.792 -1.523 1926 1 7.481 0.316 0 0 7.481 0.316 6.099 -0.610 1926 2 11.810 2.524 1 0 NaN NaN 10.993 2.163 1926 3 11.127 -2.430 1 0 NaN NaN 10.697 -2.404 1926 4 NaN NaN NaN NaN NaN NaN 15.976 -2.213 1926 5 NaN NaN NaN NaN NaN NaN 21.612 -0.932 1926 6 NaN NaN NaN NaN NaN NaN 26.294 -0.007 1926 7 26.476 -1.803 0 0 26.476 -1.803 26.947 -0.877 1926 8 27.627 -0.095 1 0 NaN NaN 27.799 0.532 1926 9 NaN NaN NaN NaN NaN NaN 26.841 2.491 1926 10 NaN NaN NaN NaN NaN NaN 20.044 1.941 1926 11 NaN NaN NaN NaN NaN NaN 10.027 -2.388 1926 12 NaN NaN NaN NaN NaN NaN 9.858 1.543 1927 1 NaN NaN NaN NaN NaN NaN 8.878 2.169 1927 2 NaN NaN NaN NaN NaN NaN 13.179 4.349 1927 3 NaN NaN NaN NaN NaN NaN 13.131 0.029 1927 4 NaN NaN NaN NaN NaN NaN 20.275 2.086 1927 5 NaN NaN NaN NaN NaN NaN 23.159 0.615 1927 6 NaN NaN NaN NaN NaN NaN 26.314 0.013 1927 7 NaN NaN NaN NaN NaN NaN 27.571 -0.253 1927 8 NaN NaN NaN NaN NaN NaN 25.996 -1.271