% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 158832 % Primary Name: TAYMA % Record Type: TAVG % Country: Saudi Arabia % Latitude: 27.60000 +/- 0.00050 % Longitude: 38.56700 +/- 0.00050 % Elevation (m): 860.00 +/- 0.05 % # of Months: 45 % % IDs: gsod - 403760-99999 % usaf - 403760 % wmo - 40376 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 5e076b7f154cb14f62dd28023f3b6fc2 % Raw Data Hash: 80d30ccc7ea1033e2a2b86404108d2c2 % Adj Data Hash: 7b5addc9f8ffc9a6cfe08230ccc3e55b % % 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 29.962 0.438 1990 7 NaN NaN NaN NaN NaN NaN 30.861 0.059 1990 8 NaN NaN NaN NaN NaN NaN 30.893 -0.108 1990 9 NaN NaN NaN NaN NaN NaN 29.226 0.302 1990 10 NaN NaN NaN NaN NaN NaN 25.124 1.089 1990 11 NaN NaN NaN NaN NaN NaN 19.055 1.697 1990 12 NaN NaN NaN NaN NaN NaN 14.783 3.001 1991 1 NaN NaN NaN NaN NaN NaN 10.057 -0.492 1991 2 NaN NaN NaN NaN NaN NaN 13.389 0.288 1991 3 NaN NaN NaN NaN NaN NaN 18.050 0.895 1991 4 NaN NaN NaN NaN NaN NaN 24.441 2.717 1991 5 NaN NaN NaN NaN NaN NaN 26.585 0.301 1991 6 29.940 0.166 0 0 29.940 0.166 29.982 0.458 1991 7 29.459 -1.594 0 0 29.459 -1.594 29.674 -1.128 1991 8 29.380 -1.872 0 0 29.380 -1.872 29.879 -1.123 1991 9 28.330 -0.845 0 0 28.330 -0.845 28.660 -0.264 1991 10 23.708 -0.578 0 0 23.708 -0.578 24.045 0.009 1991 11 18.078 0.469 0 0 18.078 0.469 18.146 0.787 1991 12 10.581 -1.452 0 0 10.581 -1.452 10.199 -1.584 1992 1 6.519 -4.281 0 0 6.519 -4.281 6.911 -3.638 1992 2 8.619 -4.733 0 0 8.619 -4.733 9.590 -3.511 1992 3 13.814 -3.591 0 0 13.814 -3.591 14.587 -2.568 1992 4 20.287 -1.688 0 0 20.287 -1.688 20.791 -0.933 1992 5 25.138 -1.396 0 0 25.138 -1.396 25.460 -0.823 1992 6 27.752 -2.022 0 0 27.752 -2.022 28.906 -0.617 1992 7 28.900 -2.152 0 0 28.900 -2.152 29.428 -1.374 1992 8 30.401 -0.851 0 0 30.401 -0.851 30.741 -0.260 1992 9 26.421 -2.754 0 0 26.421 -2.754 27.923 -1.001 1992 10 23.985 -0.301 0 0 23.985 -0.301 24.040 0.004 1992 11 12.271 -5.338 1 0 NaN NaN 16.808 -0.550 1992 12 10.089 -1.944 0 0 10.089 -1.944 9.712 -2.071 1993 1 9.109 -1.690 0 0 9.109 -1.690 8.946 -1.603 1993 2 11.214 -2.138 0 0 11.214 -2.138 11.180 -1.922 1993 3 16.676 -0.730 0 0 16.676 -0.730 16.582 -0.574 1993 4 22.326 0.351 0 0 22.326 0.351 21.751 0.027 1993 5 26.100 -0.434 0 0 26.100 -0.434 25.544 -0.740 1993 6 28.222 -1.552 1 0 NaN NaN 29.778 0.254 1993 7 32.154 1.102 1 0 NaN NaN 30.650 -0.152 1993 8 33.780 2.528 0 0 33.780 2.528 32.054 1.052 1993 9 30.753 1.578 1 0 NaN NaN 29.782 0.858 1993 10 25.936 1.650 0 0 25.936 1.650 25.146 1.111 1993 11 20.507 2.898 0 0 20.507 2.898 18.091 0.732 1993 12 17.923 5.890 1 0 NaN NaN 14.220 2.437 1994 1 14.278 3.478 0 0 14.278 3.478 13.011 2.462 1994 2 14.404 1.052 0 0 14.404 1.052 13.191 0.089 1994 3 19.040 1.635 0 0 19.040 1.635 17.557 0.402 1994 4 25.038 3.063 0 0 25.038 3.063 23.851 2.126 1994 5 27.687 1.153 0 0 27.687 1.153 27.137 0.854 1994 6 31.359 1.585 0 0 31.359 1.585 29.943 0.419 1994 7 29.988 -1.064 1 0 NaN NaN 29.504 -1.298 1994 8 32.325 1.073 0 0 32.325 1.073 31.362 0.360 1994 9 30.451 1.277 0 0 30.451 1.277 29.686 0.762 1994 10 26.751 2.465 0 0 26.751 2.465 25.908 1.873 1994 11 17.564 -0.045 1 0 NaN NaN 16.811 -0.547 1994 12 12.455 0.422 1 0 NaN NaN 9.636 -2.147 1995 1 17.137 6.338 1 0 NaN NaN 12.208 1.659 1995 2 13.810 0.458 1 0 NaN NaN 13.218 0.116 1995 3 NaN NaN NaN NaN NaN NaN 17.268 0.113 1995 4 NaN NaN NaN NaN NaN NaN 21.506 -0.218 1995 5 NaN NaN NaN NaN NaN NaN 27.165 0.882 1995 6 NaN NaN NaN NaN NaN NaN 30.230 0.707 1995 7 NaN NaN NaN NaN NaN NaN 30.448 -0.354 1995 8 NaN NaN NaN NaN NaN NaN 31.802 0.800 1995 9 NaN NaN NaN NaN NaN NaN 29.071 0.147 1995 10 NaN NaN NaN NaN NaN NaN 24.159 0.123 1995 11 NaN NaN NaN NaN NaN NaN 16.285 -1.074 1995 12 NaN NaN NaN NaN NaN NaN 10.872 -0.911 1996 1 NaN NaN NaN NaN NaN NaN 11.264 0.715 1996 2 NaN NaN NaN NaN NaN NaN 14.710 1.609