% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 158814 % Primary Name: LAYLA % Record Type: TAVG % Country: Saudi Arabia % Latitude: 22.33300 +/- 0.00050 % Longitude: 46.73300 +/- 0.00050 % Elevation (m): 543.00 +/- 0.05 % # of Months: 37 % % IDs: gsod - 410100-99999 % usaf - 410100 % wmo - 41010 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 8884d9bcd35adaae6db768fcaaba8768 % Raw Data Hash: 20934ed35eb9cfbf82a7888d097016c8 % Adj Data Hash: 48655fbc3b1e89dc3eafa7a6f6b591ac % % 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 1990 6 NaN NaN NaN NaN NaN NaN 35.561 0.150 1990 7 NaN NaN NaN NaN NaN NaN 36.142 0.018 1990 8 NaN NaN NaN NaN NaN NaN 35.848 0.305 1990 9 NaN NaN NaN NaN NaN NaN 33.246 0.600 1990 10 NaN NaN NaN NaN NaN NaN 27.394 0.258 1990 11 NaN NaN NaN NaN NaN NaN 21.524 0.144 1990 12 NaN NaN NaN NaN NaN NaN 17.981 1.034 1991 1 NaN NaN NaN NaN NaN NaN 17.006 0.938 1991 2 NaN NaN NaN NaN NaN NaN 18.785 0.345 1991 3 NaN NaN NaN NaN NaN NaN 22.843 0.177 1991 4 NaN NaN NaN NaN NaN NaN 28.469 1.364 1991 5 NaN NaN NaN NaN NaN NaN 31.887 -0.370 1991 6 34.393 0.557 0 0 34.393 0.557 35.144 -0.267 1991 7 34.325 -0.223 0 0 34.325 -0.223 34.917 -1.207 1991 8 34.315 0.347 0 0 34.315 0.347 35.197 -0.346 1991 9 31.206 0.135 0 0 31.206 0.135 32.084 -0.562 1991 10 26.145 0.584 0 0 26.145 0.584 27.316 0.180 1991 11 NaN NaN NaN NaN NaN NaN 20.899 -0.481 1991 12 17.467 2.096 0 0 17.467 2.096 18.707 1.761 1992 1 12.091 -2.402 0 0 12.091 -2.402 13.556 -2.512 1992 2 15.241 -1.624 0 0 15.241 -1.624 17.038 -1.402 1992 3 18.337 -2.753 0 0 18.337 -2.753 20.598 -2.068 1992 4 25.735 0.205 0 0 25.735 0.205 26.720 -0.385 1992 5 31.808 1.126 0 0 31.808 1.126 33.053 0.796 1992 6 34.621 0.785 0 0 34.621 0.785 35.344 -0.067 1992 7 34.675 0.127 0 0 34.675 0.127 35.546 -0.577 1992 8 35.256 1.288 0 0 35.256 1.288 35.384 -0.160 1992 9 30.707 -0.364 0 0 30.707 -0.364 32.502 -0.144 1992 10 24.942 -0.619 0 0 24.942 -0.619 25.583 -1.553 1992 11 19.248 -0.557 0 0 19.248 -0.557 21.090 -0.290 1992 12 15.344 -0.027 0 0 15.344 -0.027 17.208 0.262 1993 1 13.425 -1.068 0 0 13.425 -1.068 14.816 -1.252 1993 2 14.865 -2.000 0 0 14.865 -2.000 17.129 -1.311 1993 3 20.176 -0.915 0 0 20.176 -0.915 22.975 0.310 1993 4 23.645 -1.885 0 0 23.645 -1.885 25.934 -1.171 1993 5 28.978 -1.704 1 0 NaN NaN 31.937 -0.320 1993 6 NaN NaN NaN NaN NaN NaN 35.027 -0.384 1993 7 NaN NaN NaN NaN NaN NaN 36.315 0.192 1993 8 32.585 -1.383 1 0 NaN NaN 36.330 0.787 1993 9 28.996 -2.075 0 0 28.996 -2.075 32.328 -0.318 1993 10 24.819 -0.742 0 0 24.819 -0.742 26.911 -0.225 1993 11 17.237 -2.568 0 0 17.237 -2.568 21.317 -0.063 1993 12 14.074 -1.297 1 0 NaN NaN 17.986 1.040 1994 1 12.313 -2.180 1 0 NaN NaN 17.559 1.490 1994 2 10.848 -6.017 1 0 NaN NaN 18.914 0.474 1994 3 NaN NaN NaN NaN NaN NaN 22.720 0.054 1994 4 NaN NaN NaN NaN NaN NaN 28.221 1.116 1994 5 NaN NaN NaN NaN NaN NaN 33.582 1.326 1994 6 33.865 0.029 1 0 NaN NaN 36.448 1.037 1994 7 36.839 2.291 1 0 NaN NaN 35.645 -0.478 1994 8 38.726 4.758 1 0 NaN NaN 36.421 0.877 1994 9 NaN NaN NaN NaN NaN NaN 33.679 1.033 1994 10 NaN NaN NaN NaN NaN NaN 28.518 1.382 1994 11 26.942 7.137 1 0 NaN NaN 24.463 3.083 1994 12 14.979 -0.392 1 0 NaN NaN 17.155 0.209 1995 1 16.030 1.537 1 0 NaN NaN 16.920 0.852 1995 2 23.546 6.681 1 0 NaN NaN 19.749 1.309 1995 3 NaN NaN NaN NaN NaN NaN 22.484 -0.181 1995 4 NaN NaN NaN NaN NaN NaN 26.481 -0.624 1995 5 NaN NaN NaN NaN NaN NaN 33.367 1.110 1995 6 NaN NaN NaN NaN NaN NaN 35.471 0.060 1995 7 NaN NaN NaN NaN NaN NaN 35.445 -0.678 1995 8 NaN NaN NaN NaN NaN NaN 36.199 0.656 1995 9 NaN NaN NaN NaN NaN NaN 32.402 -0.244 1995 10 NaN NaN NaN NaN NaN NaN 27.709 0.573 1995 11 NaN NaN NaN NaN NaN NaN 21.025 -0.355 1995 12 NaN NaN NaN NaN NaN NaN 16.791 -0.155 1996 1 NaN NaN NaN NaN NaN NaN 16.850 0.782 1996 2 NaN NaN NaN NaN NaN NaN 19.974 1.534