% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 165972 % Primary Name: NKAYI % Record Type: TAVG % Country: Zimbabwe % Latitude: -19.00000 +/- 0.00833 % Longitude: 28.90000 +/- 0.00833 % Elevation (m): 1131.00 +/- 0.05 % # of Months: 72 % % IDs: gsod - 678630-99999 % usaf - 678630 % wmo - 67863 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 16c70b5804a4d5d36f3b5e483e34f8b6 % Raw Data Hash: 7cc289fd8883178d1bcda1f9aa8d7307 % Adj Data Hash: b3e2ee63ff71261985cc83b1651617aa % % 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 17.092 0.659 1961 8 NaN NaN NaN NaN NaN NaN 17.912 -1.171 1961 9 NaN NaN NaN NaN NaN NaN 22.862 0.129 1961 10 NaN NaN NaN NaN NaN NaN 25.931 0.764 1961 11 NaN NaN NaN NaN NaN NaN 23.476 -1.103 1961 12 NaN NaN NaN NaN NaN NaN 23.507 0.089 1962 1 NaN NaN NaN NaN NaN NaN 23.464 0.201 1962 2 NaN NaN NaN NaN NaN NaN 23.633 0.389 1962 3 NaN NaN NaN NaN NaN NaN 22.904 -0.005 1962 4 NaN NaN NaN NaN NaN NaN 22.296 0.701 1962 5 NaN NaN NaN NaN NaN NaN 17.350 -1.643 1962 6 NaN NaN NaN NaN NaN NaN 17.483 1.100 1962 7 16.964 1.099 0 0 16.964 1.099 17.483 1.051 1962 8 17.550 -0.966 0 0 17.550 -0.966 19.795 0.711 1962 9 21.336 -0.829 0 0 21.336 -0.829 23.219 0.486 1962 10 27.344 2.744 0 0 27.344 2.744 27.204 2.036 1962 11 24.119 0.108 0 0 24.119 0.108 24.406 -0.172 1962 12 21.846 -1.005 0 0 21.846 -1.005 22.167 -1.252 1963 1 22.896 0.200 0 0 22.896 0.200 23.288 0.024 1963 2 21.455 -1.221 1 0 NaN NaN 22.065 -1.179 1963 3 21.128 -1.214 0 0 21.128 -1.214 22.257 -0.653 1963 4 20.422 -0.605 0 0 20.422 -0.605 20.739 -0.855 1963 5 15.289 -3.137 0 0 15.289 -3.137 17.406 -1.587 1963 6 15.324 -0.492 0 0 15.324 -0.492 15.300 -1.084 1963 7 13.840 -2.025 0 0 13.840 -2.025 16.647 0.215 1963 8 16.762 -1.754 0 0 16.762 -1.754 18.396 -0.687 1963 9 23.107 0.942 0 0 23.107 0.942 22.969 0.236 1963 10 24.475 -0.125 0 0 24.475 -0.125 25.461 0.294 1963 11 24.562 0.551 0 0 24.562 0.551 24.865 0.287 1963 12 22.417 -0.435 0 0 22.417 -0.435 22.896 -0.523 1964 1 23.678 0.982 0 0 23.678 0.982 23.727 0.463 1964 2 22.825 0.148 0 0 22.825 0.148 23.683 0.439 1964 3 24.628 2.285 0 0 24.628 2.285 24.707 1.798 1964 4 22.257 1.230 0 0 22.257 1.230 22.341 0.746 1964 5 18.505 0.080 0 0 18.505 0.080 18.571 -0.422 1964 6 14.854 -0.963 0 0 14.854 -0.963 15.384 -0.999 1964 7 14.552 -1.313 0 0 14.552 -1.313 14.999 -1.434 1964 8 18.283 -0.233 0 0 18.283 -0.233 18.369 -0.715 1964 9 20.496 -1.669 0 0 20.496 -1.669 21.843 -0.890 1964 10 26.018 1.418 0 0 26.018 1.418 26.016 0.849 1964 11 24.064 0.053 0 0 24.064 0.053 24.480 -0.099 1964 12 22.373 -0.478 0 0 22.373 -0.478 22.431 -0.987 1965 1 22.570 -0.126 0 0 22.570 -0.126 22.787 -0.477 1965 2 23.868 1.191 0 0 23.868 1.191 24.063 0.819 1965 3 21.852 -0.490 0 0 21.852 -0.490 22.903 -0.007 1965 4 21.656 0.628 0 0 21.656 0.628 21.914 0.319 1965 5 16.344 -2.081 0 0 16.344 -2.081 18.076 -0.917 1965 6 14.122 -1.694 0 0 14.122 -1.694 15.662 -0.722 1965 7 16.218 0.353 0 0 16.218 0.353 16.522 0.089 1965 8 16.677 -1.839 0 0 16.677 -1.839 19.064 -0.020 1965 9 21.370 -0.795 0 0 21.370 -0.795 21.652 -1.081 1965 10 21.579 -3.021 0 0 21.579 -3.021 23.339 -1.829 1965 11 24.246 0.235 1 0 NaN NaN 24.471 -0.107 1965 12 26.151 3.300 0 0 26.151 3.300 25.266 1.847 1966 1 24.630 1.934 0 0 24.630 1.934 25.054 1.791 1966 2 22.863 0.187 0 0 22.863 0.187 23.100 -0.144 1966 3 21.324 -1.018 0 0 21.324 -1.018 22.006 -0.904 1966 4 19.722 -1.305 1 0 NaN NaN 20.990 -0.605 1966 5 16.525 -1.900 0 0 16.525 -1.900 18.650 -0.343 1966 6 15.744 -0.073 0 0 15.744 -0.073 16.821 0.438 1966 7 16.750 0.885 0 0 16.750 0.885 17.018 0.585 1966 8 19.850 1.334 0 0 19.850 1.334 19.345 0.261 1966 9 21.547 -0.619 0 0 21.547 -0.619 22.420 -0.313 1966 10 25.893 1.293 0 0 25.893 1.293 25.265 0.098 1966 11 25.867 1.856 0 0 25.867 1.856 25.654 1.075 1966 12 23.971 1.120 0 0 23.971 1.120 24.049 0.630 1967 1 23.049 0.352 0 0 23.049 0.352 23.625 0.361 1967 2 22.488 -0.188 0 0 22.488 -0.188 22.856 -0.388 1967 3 22.398 0.056 0 0 22.398 0.056 22.854 -0.055 1967 4 22.364 1.337 0 0 22.364 1.337 22.590 0.995 1967 5 18.634 0.209 0 0 18.634 0.209 19.304 0.311 1967 6 17.258 1.442 0 0 17.258 1.442 17.464 1.081 1967 7 15.391 -0.474 0 0 15.391 -0.474 15.552 -0.880 1967 8 16.948 -1.569 0 0 16.948 -1.569 18.052 -1.032 1967 9 22.384 0.219 0 0 22.384 0.219 22.215 -0.518 1967 10 23.801 -0.799 0 0 23.801 -0.799 25.285 0.118 1967 11 24.496 0.485 0 0 24.496 0.485 24.375 -0.203 1967 12 24.200 1.349 0 0 24.200 1.349 23.382 -0.036 1968 1 24.918 2.221 0 0 24.918 2.221 25.072 1.808 1968 2 23.293 0.617 0 0 23.293 0.617 23.382 0.138 1968 3 23.589 1.247 0 0 23.589 1.247 23.424 0.514 1968 4 21.350 0.323 0 0 21.350 0.323 22.200 0.605 1968 5 18.404 -0.022 0 0 18.404 -0.022 19.582 0.589 1968 6 14.162 -1.654 0 0 14.162 -1.654 14.673 -1.711 1968 7 NaN NaN NaN NaN NaN NaN 17.480 1.048 1968 8 NaN NaN NaN NaN NaN NaN 20.220 1.136 1968 9 NaN NaN NaN NaN NaN NaN 22.204 -0.529 1968 10 NaN NaN NaN NaN NaN NaN 26.449 1.281 1968 11 NaN NaN NaN NaN NaN NaN 22.656 -1.922 1968 12 NaN NaN NaN NaN NaN NaN 23.493 0.075 1969 1 NaN NaN NaN NaN NaN NaN 23.983 0.719 1969 2 NaN NaN NaN NaN NaN NaN 24.437 1.193 1969 3 NaN NaN NaN NaN NaN NaN 22.614 -0.296 1969 4 NaN NaN NaN NaN NaN NaN 21.998 0.403 1969 5 NaN NaN NaN NaN NaN NaN 18.405 -0.588 1969 6 NaN NaN NaN NaN NaN NaN 16.683 0.299