% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 22787 % Primary Name: LUPAKI % Record Type: TAVG % Country: South Africa % Latitude: -17.05000 +/- 0.00050 % Longitude: 24.76700 +/- 0.00050 % Elevation (m): 999.70 +/- 0.05 % # of Months: 72 % % IDs: gsod - 678550-99999 % usaf - 678550 % % Sources: Global Summary of the Day % % Site Hash: 34b24e14130a568bc06e23130775df6a % Raw Data Hash: 18d53796d92e50e8d9814b029fd1434d % Adj Data Hash: 42f474b24c5fb72e5b5f20fe7a2da6d1 % % 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 1961 7 NaN NaN NaN NaN NaN NaN 16.968 0.842 1961 8 NaN NaN NaN NaN NaN NaN 17.497 -1.381 1961 9 NaN NaN NaN NaN NaN NaN 23.567 0.245 1961 10 NaN NaN NaN NaN NaN NaN 27.009 0.841 1961 11 NaN NaN NaN NaN NaN NaN 25.003 -0.382 1961 12 NaN NaN NaN NaN NaN NaN 24.361 0.371 1962 1 NaN NaN NaN NaN NaN NaN 24.132 0.417 1962 2 NaN NaN NaN NaN NaN NaN 24.037 0.420 1962 3 NaN NaN NaN NaN NaN NaN 23.476 0.139 1962 4 NaN NaN NaN NaN NaN NaN 22.654 0.702 1962 5 NaN NaN NaN NaN NaN NaN 17.249 -1.886 1962 6 NaN NaN NaN NaN NaN NaN 16.667 0.378 1962 7 16.450 -0.178 0 0 16.450 -0.178 16.668 0.541 1962 8 19.595 0.216 1 0 NaN NaN 18.710 -0.168 1962 9 24.385 0.562 0 0 24.385 0.562 23.348 0.026 1962 10 29.111 2.442 0 0 29.111 2.442 27.493 1.325 1962 11 26.246 0.359 0 0 26.246 0.359 25.421 0.036 1962 12 23.505 -0.986 0 0 23.505 -0.986 23.063 -0.927 1963 1 24.786 0.570 0 0 24.786 0.570 23.988 0.273 1963 2 23.413 -0.705 0 0 23.413 -0.705 23.007 -0.610 1963 3 23.726 -0.112 0 0 23.726 -0.112 23.012 -0.325 1963 4 21.664 -0.789 0 0 21.664 -0.789 21.478 -0.475 1963 5 17.483 -2.153 0 0 17.483 -2.153 17.202 -1.933 1963 6 15.447 -1.344 0 0 15.447 -1.344 15.191 -1.099 1963 7 15.079 -1.549 1 0 NaN NaN 16.053 -0.073 1963 8 17.048 -2.331 0 0 17.048 -2.331 17.729 -1.149 1963 9 24.351 0.528 0 0 24.351 0.528 23.332 0.010 1963 10 27.248 0.579 0 0 27.248 0.579 26.438 0.270 1963 11 26.052 0.166 0 0 26.052 0.166 25.013 -0.373 1963 12 24.177 -0.314 0 0 24.177 -0.314 23.610 -0.379 1964 1 25.098 0.882 0 0 25.098 0.882 24.523 0.808 1964 2 25.180 1.062 0 0 25.180 1.062 24.669 1.052 1964 3 26.017 2.179 0 0 26.017 2.179 25.188 1.850 1964 4 23.335 0.882 0 0 23.335 0.882 22.729 0.777 1964 5 19.356 -0.280 0 0 19.356 -0.280 18.702 -0.433 1964 6 13.584 -3.206 0 0 13.584 -3.206 14.374 -1.915 1964 7 14.620 -2.008 0 0 14.620 -2.008 14.530 -1.597 1964 8 19.024 -0.355 0 0 19.024 -0.355 18.627 -0.251 1964 9 21.584 -2.239 0 0 21.584 -2.239 22.050 -1.272 1964 10 26.581 -0.088 1 0 NaN NaN 26.549 0.381 1964 11 26.579 0.692 0 0 26.579 0.692 25.203 -0.182 1964 12 24.436 -0.055 0 0 24.436 -0.055 23.466 -0.524 1965 1 24.356 0.140 0 0 24.356 0.140 23.658 -0.057 1965 2 25.289 1.171 0 0 25.289 1.171 24.330 0.713 1965 3 24.739 0.901 0 0 24.739 0.901 23.720 0.383 1965 4 22.824 0.371 0 0 22.824 0.371 22.190 0.237 1965 5 18.773 -0.863 0 0 18.773 -0.863 18.082 -1.053 1965 6 15.650 -1.141 0 0 15.650 -1.141 15.753 -0.537 1965 7 16.516 -0.112 0 0 16.516 -0.112 16.266 0.139 1965 8 17.607 -1.772 0 0 17.607 -1.772 18.385 -0.494 1965 9 21.428 -2.395 0 0 21.428 -2.395 22.308 -1.015 1965 10 25.261 -1.408 0 0 25.261 -1.408 24.914 -1.254 1965 11 26.419 0.532 0 0 26.419 0.532 25.408 0.022 1965 12 27.349 2.858 0 0 27.349 2.858 25.626 1.636 1966 1 26.716 2.500 0 0 26.716 2.500 25.516 1.801 1966 2 24.259 0.141 0 0 24.259 0.141 23.771 0.154 1966 3 22.562 -1.276 0 0 22.562 -1.276 22.424 -0.913 1966 4 21.746 -0.707 0 0 21.746 -0.707 21.575 -0.377 1966 5 17.538 -2.098 0 0 17.538 -2.098 18.288 -0.847 1966 6 17.813 1.022 0 0 17.813 1.022 17.323 1.033 1966 7 16.858 0.230 0 0 16.858 0.230 16.711 0.584 1966 8 18.065 -1.314 0 0 18.065 -1.314 18.772 -0.106 1966 9 24.431 0.608 0 0 24.431 0.608 23.472 0.150 1966 10 27.637 0.968 0 0 27.637 0.968 26.440 0.272 1966 11 28.113 2.226 0 0 28.113 2.226 26.585 1.199 1966 12 24.954 0.463 0 0 24.954 0.463 24.603 0.613 1967 1 24.836 0.620 0 0 24.836 0.620 24.325 0.610 1967 2 23.782 -0.336 0 0 23.782 -0.336 23.308 -0.310 1967 3 24.200 0.362 0 0 24.200 0.362 23.507 0.169 1967 4 23.494 1.041 0 0 23.494 1.041 22.834 0.881 1967 5 19.686 0.050 0 0 19.686 0.050 19.415 0.280 1967 6 17.315 0.524 0 0 17.315 0.524 17.050 0.761 1967 7 15.905 -0.723 0 0 15.905 -0.723 15.697 -0.429 1967 8 17.501 -1.878 0 0 17.501 -1.878 18.114 -0.764 1967 9 22.409 -1.415 0 0 22.409 -1.415 22.625 -0.697 1967 10 26.882 0.213 0 0 26.882 0.213 26.459 0.291 1967 11 25.958 0.071 0 0 25.958 0.071 24.828 -0.557 1967 12 25.252 0.761 0 0 25.252 0.761 24.072 0.082 1968 1 26.006 1.790 0 0 26.006 1.790 24.548 0.833 1968 2 25.020 0.902 0 0 25.020 0.902 23.782 0.165 1968 3 25.333 1.495 0 0 25.333 1.495 23.694 0.356 1968 4 22.250 -0.203 0 0 22.250 -0.203 22.224 0.271 1968 5 20.412 0.776 0 0 20.412 0.776 19.897 0.762 1968 6 14.435 -2.356 0 0 14.435 -2.356 14.360 -1.929 1968 7 NaN NaN NaN NaN NaN NaN 16.944 0.817 1968 8 NaN NaN NaN NaN NaN NaN 20.209 1.331 1968 9 NaN NaN NaN NaN NaN NaN 22.935 -0.388 1968 10 NaN NaN NaN NaN NaN NaN 27.604 1.436 1968 11 NaN NaN NaN NaN NaN NaN 23.939 -1.447 1968 12 NaN NaN NaN NaN NaN NaN 24.089 0.099 1969 1 NaN NaN NaN NaN NaN NaN 24.508 0.793 1969 2 NaN NaN NaN NaN NaN NaN 24.103 0.486 1969 3 NaN NaN NaN NaN NaN NaN 23.210 -0.127 1969 4 NaN NaN NaN NaN NaN NaN 22.576 0.623 1969 5 NaN NaN NaN NaN NaN NaN 19.161 0.026 1969 6 NaN NaN NaN NaN NaN NaN 16.561 0.271