% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 174590 % Primary Name: BENGHAZI BENINA % Record Type: TAVG % Country: Libya % Latitude: 32.08000 +/- 0.00500 % Longitude: 20.27000 +/- 0.00500 % Elevation (m): 132.00 +/- 0.50 % # of Months: 129 % % IDs: ghcnd - LYE00147747 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 07c37f93cc74e93247ff3c538c99ec67 % Raw Data Hash: 704de98fb7bbdb4354cb9aa098bd89ca % Adj Data Hash: d5c34887ee3d351fb4d9a3abbec27f39 % % 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 1943 6 NaN NaN NaN NaN NaN NaN 24.693 -1.714 1943 7 NaN NaN NaN NaN NaN NaN 27.099 0.425 1943 8 NaN NaN NaN NaN NaN NaN 26.738 -0.124 1943 9 NaN NaN NaN NaN NaN NaN 25.535 0.395 1943 10 NaN NaN NaN NaN NaN NaN 23.085 1.484 1943 11 NaN NaN NaN NaN NaN NaN 19.223 2.140 1943 12 NaN NaN NaN NaN NaN NaN 15.000 2.102 1944 1 NaN NaN NaN NaN NaN NaN 11.478 -0.116 1944 2 NaN NaN NaN NaN NaN NaN 13.010 -0.151 1944 3 NaN NaN NaN NaN NaN NaN 14.940 -0.800 1944 4 NaN NaN NaN NaN NaN NaN 19.760 0.503 1944 5 NaN NaN NaN NaN NaN NaN 22.171 -0.977 1944 6 25.975 -0.184 1 0 NaN NaN 26.141 -0.267 1944 7 26.018 -0.408 0 0 26.018 -0.408 26.507 -0.168 1944 8 26.229 -0.385 0 0 26.229 -0.385 26.961 0.099 1944 9 24.528 -0.363 0 0 24.528 -0.363 24.633 -0.506 1944 10 22.782 1.430 0 0 22.782 1.430 22.019 0.418 1944 11 18.133 1.298 0 0 18.133 1.298 17.223 0.140 1944 12 14.234 1.584 0 0 14.234 1.584 13.282 0.384 1945 1 10.329 -1.017 0 0 10.329 -1.017 10.284 -1.311 1945 2 10.929 -1.984 0 0 10.929 -1.984 11.774 -1.387 1945 3 12.287 -3.205 0 0 12.287 -3.205 13.006 -2.735 1945 4 18.113 -0.895 0 0 18.113 -0.895 18.802 -0.454 1945 5 23.969 1.070 0 0 23.969 1.070 24.710 1.562 1945 6 25.030 -1.129 0 0 25.030 -1.129 26.626 0.219 1945 7 27.553 1.127 1 0 NaN NaN 27.368 0.693 1945 8 29.227 2.613 0 0 29.227 2.613 30.023 3.161 1945 9 25.048 0.157 0 0 25.048 0.157 25.079 -0.061 1945 10 NaN NaN NaN NaN NaN NaN 20.389 -1.211 1945 11 18.352 1.517 0 0 18.352 1.517 17.345 0.261 1945 12 13.871 1.221 1 0 NaN NaN 12.438 -0.461 1946 1 NaN NaN NaN NaN NaN NaN 12.497 0.903 1946 2 NaN NaN NaN NaN NaN NaN 12.358 -0.803 1946 3 NaN NaN NaN NaN NaN NaN 14.715 -1.025 1946 4 19.195 0.187 0 0 19.195 0.187 19.903 0.646 1946 5 23.668 0.768 0 0 23.668 0.768 24.246 1.097 1946 6 24.625 -1.534 0 0 24.625 -1.534 26.221 -0.186 1946 7 26.316 -0.110 0 0 26.316 -0.110 26.775 0.101 1946 8 28.005 1.391 0 0 28.005 1.391 28.547 1.685 1946 9 25.835 0.944 0 0 25.835 0.944 25.760 0.620 1946 10 22.258 0.906 0 0 22.258 0.906 21.469 -0.131 1946 11 19.975 3.140 0 0 19.975 3.140 19.172 2.089 1946 12 13.276 0.626 0 0 13.276 0.626 12.154 -0.745 1947 1 11.740 0.394 0 0 11.740 0.394 11.217 -0.377 1947 2 14.425 1.512 0 0 14.425 1.512 15.227 2.066 1947 3 17.466 1.974 0 0 17.466 1.974 18.272 2.532 1947 4 17.758 -1.250 0 0 17.758 -1.250 18.303 -0.954 1947 5 22.673 -0.227 0 0 22.673 -0.227 23.419 0.271 1947 6 24.520 -1.639 0 0 24.520 -1.639 26.206 -0.201 1947 7 26.119 -0.307 0 0 26.119 -0.307 26.911 0.237 1947 8 27.995 1.381 0 0 27.995 1.381 28.642 1.779 1947 9 26.420 1.528 0 0 26.420 1.528 25.848 0.709 1947 10 21.942 0.590 0 0 21.942 0.590 20.946 -0.654 1947 11 17.570 0.735 0 0 17.570 0.735 16.664 -0.419 1947 12 14.264 1.614 0 0 14.264 1.614 13.224 0.326 1948 1 12.373 1.027 0 0 12.373 1.027 12.307 0.713 1948 2 12.722 -0.190 1 0 NaN NaN 13.168 0.007 1948 3 12.037 -3.455 0 0 12.037 -3.455 12.935 -2.805 1948 4 17.325 -1.683 0 0 17.325 -1.683 18.323 -0.934 1948 5 23.579 0.679 0 0 23.579 0.679 24.337 1.189 1948 6 23.768 -2.391 0 0 23.768 -2.391 25.771 -0.636 1948 7 24.616 -1.810 0 0 24.616 -1.810 25.388 -1.286 1948 8 25.142 -1.472 0 0 25.142 -1.472 26.097 -0.765 1948 9 23.172 -1.720 0 0 23.172 -1.720 23.894 -1.246 1948 10 NaN NaN NaN NaN NaN NaN 22.307 0.707 1948 11 17.685 0.850 0 0 17.685 0.850 16.422 -0.662 1948 12 13.180 0.530 0 0 13.180 0.530 11.935 -0.963 1949 1 11.211 -0.135 0 0 11.211 -0.135 11.172 -0.422 1949 2 11.154 -1.759 0 0 11.154 -1.759 11.701 -1.460 1949 3 13.145 -2.346 0 0 13.145 -2.346 13.565 -2.175 1949 4 15.300 -3.708 1 0 NaN NaN 17.370 -1.886 1949 5 NaN NaN NaN NaN NaN NaN 23.959 0.811 1949 6 NaN NaN NaN NaN NaN NaN 25.875 -0.533 1949 7 24.963 -1.463 0 0 24.963 -1.463 25.559 -1.116 1949 8 24.600 -2.014 0 0 24.600 -2.014 25.237 -1.625 1949 9 23.468 -1.423 0 0 23.468 -1.423 23.283 -1.856 1949 10 22.182 0.830 0 0 22.182 0.830 21.047 -0.553 1949 11 18.903 2.068 0 0 18.903 2.068 17.623 0.540 1949 12 15.008 2.358 0 0 15.008 2.358 13.970 1.072 1950 1 11.990 0.644 0 0 11.990 0.644 11.465 -0.129 1950 2 12.413 -0.500 0 0 12.413 -0.500 12.620 -0.541 1950 3 13.779 -1.713 0 0 13.779 -1.713 14.795 -0.945 1950 4 18.605 -0.403 0 0 18.605 -0.403 19.506 0.249 1950 5 20.158 -2.742 0 0 20.158 -2.742 21.420 -1.728 1950 6 24.435 -1.724 0 0 24.435 -1.724 26.135 -0.272 1950 7 26.384 -0.042 0 0 26.384 -0.042 26.994 0.319 1950 8 26.344 -0.270 0 0 26.344 -0.270 27.464 0.602 1950 9 24.488 -0.403 0 0 24.488 -0.403 25.064 -0.075 1950 10 22.042 0.690 0 0 22.042 0.690 21.123 -0.478 1950 11 17.391 0.556 0 0 17.391 0.556 16.851 -0.232 1950 12 13.032 0.382 0 0 13.032 0.382 12.955 0.057 1951 1 12.287 0.941 0 0 12.287 0.941 11.875 0.281 1951 2 13.441 0.528 0 0 13.441 0.528 13.687 0.526 1951 3 16.602 1.110 0 0 16.602 1.110 17.030 1.290 1951 4 19.573 0.565 0 0 19.573 0.565 20.005 0.748 1951 5 23.945 1.045 0 0 23.945 1.045 24.148 1.000 1951 6 24.887 -1.272 0 0 24.887 -1.272 26.686 0.278 1951 7 26.158 -0.268 0 0 26.158 -0.268 26.827 0.152 1951 8 26.339 -0.275 0 0 26.339 -0.275 27.312 0.450 1951 9 25.612 0.720 0 0 25.612 0.720 25.837 0.698 1951 10 22.200 0.848 0 0 22.200 0.848 21.933 0.333 1951 11 17.725 0.890 0 0 17.725 0.890 16.698 -0.386 1951 12 12.859 0.209 0 0 12.859 0.209 11.871 -1.028 1952 1 11.876 0.530 0 0 11.876 0.530 11.369 -0.225 1952 2 11.298 -1.614 1 0 NaN NaN 12.205 -0.956 1952 3 15.031 -0.461 0 0 15.031 -0.461 16.126 0.386 1952 4 18.348 -0.660 1 0 NaN NaN 20.026 0.769 1952 5 22.992 0.092 0 0 22.992 0.092 23.508 0.360 1952 6 22.955 -3.204 0 0 22.955 -3.204 25.890 -0.517 1952 7 25.856 -0.570 0 0 25.856 -0.570 26.939 0.264 1952 8 27.238 0.624 0 0 27.238 0.624 27.914 1.052 1952 9 27.028 2.137 0 0 27.028 2.137 26.660 1.521 1952 10 22.808 1.456 0 0 22.808 1.456 21.986 0.386 1952 11 17.563 0.728 0 0 17.563 0.728 16.878 -0.206 1952 12 13.491 0.841 0 0 13.491 0.841 12.506 -0.392 1953 1 10.944 -0.402 0 0 10.944 -0.402 10.409 -1.186 1953 2 12.175 -0.738 0 0 12.175 -0.738 13.205 0.044 1953 3 11.794 -3.698 0 0 11.794 -3.698 12.694 -3.047 1953 4 19.510 0.502 0 0 19.510 0.502 20.080 0.823 1953 5 20.852 -2.048 0 0 20.852 -2.048 22.240 -0.908 1953 6 26.167 0.008 0 0 26.167 0.008 27.603 1.196 1953 7 26.821 0.395 0 0 26.821 0.395 27.260 0.586 1953 8 NaN NaN NaN NaN NaN NaN 26.772 -0.090 1953 9 24.772 -0.120 0 0 24.772 -0.120 24.561 -0.579 1953 10 22.366 1.014 0 0 22.366 1.014 21.650 0.050 1953 11 NaN NaN NaN NaN NaN NaN 15.614 -1.470 1953 12 13.118 0.468 0 0 13.118 0.468 12.370 -0.528 1954 1 11.519 0.173 0 0 11.519 0.173 10.756 -0.839 1954 2 12.486 -0.427 0 0 12.486 -0.427 13.178 0.017 1954 3 15.527 0.036 0 0 15.527 0.036 16.221 0.481 1954 4 17.283 -1.725 0 0 17.283 -1.725 18.796 -0.460 1954 5 21.313 -1.587 0 0 21.313 -1.587 22.429 -0.719 1954 6 25.257 -0.902 0 0 25.257 -0.902 26.837 0.430 1954 7 25.436 -0.990 1 0 NaN NaN 26.431 -0.243 1954 8 25.853 -0.761 0 0 25.853 -0.761 26.519 -0.344 1954 9 23.778 -1.113 0 0 23.778 -1.113 23.919 -1.221 1954 10 21.721 0.369 0 0 21.721 0.369 20.811 -0.790 1954 11 NaN NaN NaN NaN NaN NaN 16.486 -0.598 1954 12 13.376 0.726 0 0 13.376 0.726 12.541 -0.357 1955 1 13.869 2.523 0 0 13.869 2.523 13.478 1.884 1955 2 15.582 2.669 0 0 15.582 2.669 16.259 3.098 1955 3 16.024 0.532 0 0 16.024 0.532 16.576 0.835 1955 4 17.692 -1.317 0 0 17.692 -1.317 18.766 -0.491 1955 5 23.313 0.413 0 0 23.313 0.413 24.368 1.220 1955 6 27.165 1.006 0 0 27.165 1.006 28.130 1.723 1955 7 26.139 -0.287 0 0 26.139 -0.287 27.359 0.685 1955 8 26.245 -0.369 0 0 26.245 -0.369 27.315 0.452 1955 9 26.412 1.520 0 0 26.412 1.520 26.282 1.142 1955 10 23.839 2.487 0 0 23.839 2.487 22.705 1.105 1955 11 20.023 3.188 0 0 20.023 3.188 18.821 1.737 1955 12 14.540 1.890 0 0 14.540 1.890 13.629 0.730 1956 1 NaN NaN NaN NaN NaN NaN 12.775 1.181 1956 2 NaN NaN NaN NaN NaN NaN 13.732 0.571 1956 3 NaN NaN NaN NaN NaN NaN 14.364 -1.376 1956 4 NaN NaN NaN NaN NaN NaN 19.343 0.086 1956 5 NaN NaN NaN NaN NaN NaN 22.180 -0.968 1956 6 NaN NaN NaN NaN NaN NaN 26.568 0.161 1956 7 NaN NaN NaN NaN NaN NaN 26.815 0.140 1956 8 NaN NaN NaN NaN NaN NaN 27.227 0.365 1956 9 NaN NaN NaN NaN NaN NaN 24.497 -0.643 1956 10 NaN NaN NaN NaN NaN NaN 19.246 -2.354 1956 11 NaN NaN NaN NaN NaN NaN 16.954 -0.129 1956 12 NaN NaN NaN NaN NaN NaN 11.158 -1.740