% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 18365 % Primary Name: PANDA-INHAMBANE % Record Type: TAVG % Country: Mozambique % Latitude: -24.05000 +/- 0.00500 % Longitude: 34.05000 +/- 0.00500 % Elevation (m): 150.00 +/- 0.05 % # of Months: 64 % % IDs: gsod - 673270-99999 % usaf - 673270 % % Sources: Global Summary of the Day % % Site Hash: 9e04a44d680d1478027dfdb0bcf1cd3b % Raw Data Hash: 25ab1a391cf6f0d892446d0c6717bac3 % Adj Data Hash: 7f21a01f95af93e0894e5328e711c27b % % 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 2006 10 NaN NaN NaN NaN NaN NaN 26.229 1.270 2006 11 NaN NaN NaN NaN NaN NaN 27.119 0.567 2006 12 NaN NaN NaN NaN NaN NaN 28.972 1.573 2007 1 NaN NaN NaN NaN NaN NaN 28.060 0.290 2007 2 NaN NaN NaN NaN NaN NaN 28.369 0.851 2007 3 NaN NaN NaN NaN NaN NaN 27.305 0.883 2007 4 NaN NaN NaN NaN NaN NaN 24.550 0.339 2007 5 NaN NaN NaN NaN NaN NaN 21.567 0.126 2007 6 NaN NaN NaN NaN NaN NaN 19.733 0.806 2007 7 NaN NaN NaN NaN NaN NaN 18.678 -0.028 2007 8 NaN NaN NaN NaN NaN NaN 21.180 0.667 2007 9 NaN NaN NaN NaN NaN NaN 24.229 1.431 2007 10 24.116 -1.060 1 0 NaN NaN 25.201 0.242 2007 11 26.719 -0.051 1 0 NaN NaN 27.046 0.494 2007 12 24.766 -2.849 1 0 NaN NaN 26.609 -0.789 2008 1 27.113 -0.874 0 0 27.113 -0.874 27.434 -0.336 2008 2 27.356 -0.379 0 0 27.356 -0.379 27.467 -0.051 2008 3 26.339 -0.300 1 0 NaN NaN 26.457 0.035 2008 4 23.237 -1.190 0 0 23.237 -1.190 23.213 -0.997 2008 5 22.483 0.825 0 0 22.483 0.825 22.287 0.845 2008 6 20.662 1.519 0 0 20.662 1.519 19.719 0.792 2008 7 20.688 1.765 0 0 20.688 1.765 20.016 1.309 2008 8 22.133 1.404 0 0 22.133 1.404 21.631 1.118 2008 9 23.379 0.364 1 0 NaN NaN 23.193 0.395 2008 10 24.798 -0.378 1 0 NaN NaN 25.624 0.665 2008 11 25.821 -0.948 0 0 25.821 -0.948 26.706 0.154 2008 12 28.006 0.390 1 0 NaN NaN 27.712 0.313 2009 1 28.203 0.216 0 0 28.203 0.216 28.412 0.642 2009 2 27.248 -0.486 1 0 NaN NaN 27.821 0.303 2009 3 25.753 -0.886 1 0 NaN NaN 26.159 -0.264 2009 4 23.561 -0.866 1 0 NaN NaN 23.920 -0.290 2009 5 21.649 -0.009 1 0 NaN NaN 22.033 0.592 2009 6 21.188 2.045 0 0 21.188 2.045 20.421 1.494 2009 7 20.477 1.554 0 0 20.477 1.554 18.960 0.254 2009 8 20.581 -0.148 1 0 NaN NaN 20.704 0.191 2009 9 23.864 0.849 0 0 23.864 0.849 23.721 0.923 2009 10 25.013 -0.162 0 0 25.013 -0.162 25.435 0.476 2009 11 25.169 -1.601 1 0 NaN NaN 25.867 -0.686 2009 12 27.567 -0.048 1 0 NaN NaN 28.268 0.869 2010 1 NaN NaN NaN NaN NaN NaN 28.329 0.559 2010 2 NaN NaN NaN NaN NaN NaN 28.641 1.123 2010 3 NaN NaN NaN NaN NaN NaN 27.493 1.071 2010 4 NaN NaN NaN NaN NaN NaN 24.951 0.741 2010 5 26.560 4.902 1 0 NaN NaN 23.100 1.658 2010 6 NaN NaN NaN NaN NaN NaN 19.690 0.763 2010 7 NaN NaN NaN NaN NaN NaN 19.086 0.380 2010 8 NaN NaN NaN NaN NaN NaN 20.356 -0.157 2010 9 24.521 1.506 1 0 NaN NaN 23.758 0.959 2010 10 23.962 -1.213 1 0 NaN NaN 26.158 1.199 2010 11 NaN NaN NaN NaN NaN NaN 27.357 0.805 2010 12 27.911 0.296 1 0 NaN NaN 27.581 0.182 2011 1 27.035 -0.952 1 0 NaN NaN 27.920 0.149 2011 2 26.361 -1.374 1 0 NaN NaN 27.474 -0.044 2011 3 27.283 0.644 1 0 NaN NaN 28.102 1.680 2011 4 24.313 -0.114 1 0 NaN NaN 24.519 0.308 2011 5 23.017 1.359 1 0 NaN NaN 22.710 1.269 2011 6 21.697 2.554 1 0 NaN NaN 19.756 0.830 2011 7 NaN NaN NaN NaN NaN NaN 18.507 -0.199 2011 8 NaN NaN NaN NaN NaN NaN 20.030 -0.482 2011 9 26.046 3.031 1 0 NaN NaN 23.657 0.859 2011 10 23.588 -1.588 1 0 NaN NaN 25.289 0.330 2011 11 26.201 -0.568 1 0 NaN NaN 27.134 0.582 2011 12 26.687 -0.929 1 0 NaN NaN 27.316 -0.083 2012 1 27.286 -0.701 1 0 NaN NaN 27.698 -0.072 2012 2 27.611 -0.124 1 0 NaN NaN 28.174 0.657 2012 3 26.516 -0.123 1 0 NaN NaN 27.058 0.636 2012 4 23.482 -0.945 1 0 NaN NaN 23.503 -0.707 2012 5 23.161 1.503 1 0 NaN NaN 22.305 0.864 2012 6 21.065 1.921 1 0 NaN NaN 20.046 1.119 2012 7 19.353 0.430 1 0 NaN NaN 19.423 0.717 2012 8 22.788 2.059 1 0 NaN NaN 21.437 0.924 2012 9 23.467 0.453 1 0 NaN NaN 23.122 0.324 2012 10 25.063 -0.113 1 0 NaN NaN 25.508 0.549 2012 11 26.619 -0.150 1 0 NaN NaN 26.652 0.100 2012 12 27.134 -0.482 1 0 NaN NaN 27.844 0.445 2013 1 27.061 -0.926 1 0 NaN NaN 27.609 -0.161 2013 2 26.365 -1.370 1 0 NaN NaN 27.237 -0.281 2013 3 24.794 -1.845 1 0 NaN NaN 26.010 -0.412 2013 4 23.313 -1.114 1 0 NaN NaN 23.463 -0.747 2013 5 22.093 0.435 1 0 NaN NaN 21.142 -0.299 2013 6 20.827 1.684 1 0 NaN NaN 19.839 0.913 2013 7 20.229 1.306 1 0 NaN NaN 19.467 0.761 2013 8 21.921 1.191 1 0 NaN NaN 21.650 1.137 2013 9 22.842 -0.172 1 0 NaN NaN 23.957 1.159 2013 10 23.325 -1.850 1 0 NaN NaN 24.484 -0.475 2013 11 24.993 -1.776 1 0 NaN NaN NaN NaN