% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 22307 % Primary Name: SHAWALAH % Record Type: TAVG % Country: Saudi Arabia % Latitude: 22.51700 +/- 0.00050 % Longitude: 54.05000 +/- 0.00050 % Elevation (m): 468.00 +/- 0.05 % # of Months: 31 % % IDs: gsod - 410160-99999 % usaf - 410160 % % Sources: Global Summary of the Day % % Site Hash: ce3fccd7b5c6c2c45fd9dafff98cb5c8 % Raw Data Hash: ee0c06bbc8e6a80bd1ef8bbcd7af92fa % Adj Data Hash: 968e1ca6d9f8b5d6edd12ff4460af12d % % 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 1983 1 NaN NaN NaN NaN NaN NaN 19.271 -0.459 1983 2 NaN NaN NaN NaN NaN NaN 20.649 -1.096 1983 3 NaN NaN NaN NaN NaN NaN 23.969 -1.576 1983 4 NaN NaN NaN NaN NaN NaN 27.402 -1.767 1983 5 NaN NaN NaN NaN NaN NaN 33.881 0.558 1983 6 NaN NaN NaN NaN NaN NaN 35.948 -0.003 1983 7 NaN NaN NaN NaN NaN NaN 37.128 0.298 1983 8 NaN NaN NaN NaN NaN NaN 35.956 0.096 1983 9 NaN NaN NaN NaN NaN NaN 33.236 -0.026 1983 10 NaN NaN NaN NaN NaN NaN 28.671 -0.557 1983 11 NaN NaN NaN NaN NaN NaN 24.425 -0.477 1983 12 NaN NaN NaN NaN NaN NaN 21.080 0.100 1984 1 18.407 -1.649 1 0 NaN NaN 19.289 -0.441 1984 2 20.113 -1.958 0 0 20.113 -1.958 20.640 -1.106 1984 3 27.091 1.221 0 0 27.091 1.221 26.600 1.055 1984 4 31.266 1.771 1 0 NaN NaN 30.107 0.938 1984 5 32.833 -0.816 0 0 32.833 -0.816 32.725 -0.598 1984 6 34.876 -1.400 0 0 34.876 -1.400 34.492 -1.458 1984 7 38.130 0.974 0 0 38.130 0.974 36.584 -0.246 1984 8 34.389 -1.797 1 0 NaN NaN 35.343 -0.517 1984 9 33.092 -0.495 1 0 NaN NaN 32.380 -0.882 1984 10 27.310 -2.244 0 0 27.310 -2.244 27.445 -1.784 1984 11 23.918 -1.310 0 0 23.918 -1.310 24.341 -0.562 1984 12 20.726 -0.580 0 0 20.726 -0.580 20.876 -0.105 1985 1 22.344 2.289 0 0 22.344 2.289 21.230 1.500 1985 2 21.378 -0.693 1 0 NaN NaN 21.237 -0.509 1985 3 23.131 -2.740 1 0 NaN NaN 25.714 0.169 1985 4 28.507 -0.987 0 0 28.507 -0.987 28.657 -0.512 1985 5 32.378 -1.271 0 0 32.378 -1.271 32.808 -0.515 1985 6 31.724 -4.553 1 0 NaN NaN 34.601 -1.350 1985 7 37.538 0.382 1 0 NaN NaN 36.078 -0.751 1985 8 NaN NaN NaN NaN NaN NaN 36.141 0.281 1985 9 NaN NaN NaN NaN NaN NaN 32.542 -0.720 1985 10 25.778 -3.777 1 0 NaN NaN 28.907 -0.322 1985 11 24.857 -0.372 1 0 NaN NaN 25.296 0.394 1985 12 20.923 -0.383 0 0 20.923 -0.383 20.939 -0.042 1986 1 17.782 -2.274 1 0 NaN NaN 19.071 -0.658 1986 2 NaN NaN NaN NaN NaN NaN 21.547 -0.198 1986 3 27.799 1.928 1 0 NaN NaN 25.753 0.209 1986 4 31.380 1.885 1 0 NaN NaN 29.407 0.238 1986 5 34.551 0.902 1 0 NaN NaN 34.415 1.091 1986 6 36.152 -0.124 0 0 36.152 -0.124 35.383 -0.567 1986 7 39.146 1.990 0 0 39.146 1.990 37.169 0.339 1986 8 39.565 3.380 1 0 NaN NaN 35.559 -0.301 1986 9 36.670 3.082 1 0 NaN NaN 32.673 -0.589 1986 10 31.053 1.499 1 0 NaN NaN 29.500 0.271 1986 11 NaN NaN NaN NaN NaN NaN 25.382 0.479 1986 12 NaN NaN NaN NaN NaN NaN 20.142 -0.838 1987 1 NaN NaN NaN NaN NaN NaN 19.775 0.046 1987 2 NaN NaN NaN NaN NaN NaN 22.652 0.907 1987 3 NaN NaN NaN NaN NaN NaN 25.608 0.064 1987 4 NaN NaN NaN NaN NaN NaN 28.838 -0.331 1987 5 NaN NaN NaN NaN NaN NaN 33.972 0.649 1987 6 NaN NaN NaN NaN NaN NaN 35.814 -0.137 1987 7 NaN NaN NaN NaN NaN NaN 37.406 0.577 1987 8 NaN NaN NaN NaN NaN NaN 36.516 0.656 1987 9 NaN NaN NaN NaN NaN NaN 33.473 0.211 1987 10 NaN NaN NaN NaN NaN NaN 29.462 0.233