% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 139190 % Primary Name: TIMARU HARBOUR % Record Type: TAVG % Country: New Zealand % Latitude: -44.40000 +/- 0.00500 % Longitude: 171.25000 +/- 0.00500 % Elevation (m): 8.00 +/- 0.05 % # of Months: 73 % % IDs: gsod - 937750-99999 % usaf - 937750 % % Sources: Global Summary of the Day % % Site Hash: 5658163cb154f884346fad66499156ae % Raw Data Hash: 6915dd2408633e3383a509b2b037d18c % Adj Data Hash: ae7b98c19d7d8800626646473c549a11 % % 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 1989 6 NaN NaN NaN NaN NaN NaN 7.428 0.578 1989 7 NaN NaN NaN NaN NaN NaN 6.102 -0.161 1989 8 NaN NaN NaN NaN NaN NaN 7.849 0.748 1989 9 NaN NaN NaN NaN NaN NaN 9.661 1.074 1989 10 NaN NaN NaN NaN NaN NaN 10.938 1.136 1989 11 NaN NaN NaN NaN NaN NaN 12.300 1.036 1989 12 NaN NaN NaN NaN NaN NaN 12.906 0.101 1990 1 NaN NaN NaN NaN NaN NaN 14.617 0.687 1990 2 NaN NaN NaN NaN NaN NaN 15.706 1.653 1990 3 NaN NaN NaN NaN NaN NaN 13.851 0.723 1990 4 NaN NaN NaN NaN NaN NaN 11.695 0.601 1990 5 NaN NaN NaN NaN NaN NaN 10.130 1.175 1990 6 7.940 -0.083 0 0 7.940 -0.083 7.456 0.605 1990 7 7.342 -0.095 1 0 NaN NaN 6.762 0.498 1990 8 8.122 -0.152 0 0 8.122 -0.152 7.513 0.412 1990 9 9.367 -0.394 0 0 9.367 -0.394 8.434 -0.153 1990 10 11.832 0.857 0 0 11.832 0.857 10.085 0.284 1990 11 13.478 1.042 0 0 13.478 1.042 11.689 0.425 1990 12 15.498 1.520 1 0 NaN NaN 13.595 0.790 1991 1 16.769 1.666 0 0 16.769 1.666 14.351 0.421 1991 2 15.530 0.304 1 0 NaN NaN 13.645 -0.408 1991 3 15.041 0.740 0 0 15.041 0.740 13.542 0.414 1991 4 11.179 -1.088 0 0 11.179 -1.088 10.463 -0.631 1991 5 10.030 -0.098 0 0 10.030 -0.098 9.414 0.460 1991 6 6.596 -1.428 0 0 6.596 -1.428 6.102 -0.748 1991 7 5.918 -1.519 0 0 5.918 -1.519 5.783 -0.481 1991 8 8.895 0.621 0 0 8.895 0.621 8.222 1.120 1991 9 9.900 0.140 0 0 9.900 0.140 9.045 0.457 1991 10 11.984 1.010 0 0 11.984 1.010 10.059 0.257 1991 11 12.136 -0.300 0 0 12.136 -0.300 10.165 -1.099 1991 12 14.236 0.258 0 0 14.236 0.258 12.298 -0.507 1992 1 16.919 1.816 0 0 16.919 1.816 14.488 0.558 1992 2 15.468 0.242 1 0 NaN NaN 13.345 -0.708 1992 3 13.543 -0.758 0 0 13.543 -0.758 11.947 -1.181 1992 4 11.328 -0.939 0 0 11.328 -0.939 9.585 -1.509 1992 5 7.736 -2.392 0 0 7.736 -2.392 7.334 -1.620 1992 6 5.716 -2.307 0 0 5.716 -2.307 5.792 -1.059 1992 7 6.248 -1.188 0 0 6.248 -1.188 6.497 0.233 1992 8 6.770 -1.504 0 0 6.770 -1.504 6.137 -0.964 1992 9 7.875 -1.885 0 0 7.875 -1.885 7.020 -1.568 1992 10 10.802 -0.173 0 0 10.802 -0.173 9.198 -0.604 1992 11 13.891 1.454 0 0 13.891 1.454 12.059 0.796 1992 12 14.083 0.106 0 0 14.083 0.106 12.032 -0.773 1993 1 15.523 0.420 0 0 15.523 0.420 13.262 -0.668 1993 2 15.381 0.155 1 0 NaN NaN 13.155 -0.898 1993 3 13.319 -0.982 0 0 13.319 -0.982 12.002 -1.126 1993 4 11.441 -0.826 0 0 11.441 -0.826 10.256 -0.838 1993 5 9.385 -0.742 0 0 9.385 -0.742 9.354 0.400 1993 6 8.331 0.308 0 0 8.331 0.308 8.386 1.535 1993 7 6.711 -0.725 0 0 6.711 -0.725 6.864 0.601 1993 8 6.986 -1.288 0 0 6.986 -1.288 6.591 -0.510 1993 9 9.017 -0.743 0 0 9.017 -0.743 8.036 -0.552 1993 10 13.190 2.215 0 0 13.190 2.215 11.139 1.337 1993 11 12.154 -0.283 0 0 12.154 -0.283 10.190 -1.073 1993 12 14.198 0.220 0 0 14.198 0.220 12.087 -0.718 1994 1 16.769 1.666 0 0 16.769 1.666 14.559 0.629 1994 2 17.075 1.849 0 0 17.075 1.849 14.961 0.908 1994 3 13.900 -0.401 0 0 13.900 -0.401 12.419 -0.709 1994 4 12.638 0.371 0 0 12.638 0.371 11.588 0.494 1994 5 9.941 -0.187 0 0 9.941 -0.187 9.357 0.403 1994 6 6.800 -1.223 0 0 6.800 -1.223 6.375 -0.475 1994 7 5.993 -1.444 0 0 5.993 -1.444 6.194 -0.069 1994 8 9.048 0.774 0 0 9.048 0.774 7.979 0.878 1994 9 8.748 -1.012 0 0 8.748 -1.012 7.661 -0.926 1994 10 10.794 -0.181 0 0 10.794 -0.181 9.032 -0.769 1994 11 13.656 1.220 0 0 13.656 1.220 11.608 0.345 1994 12 14.931 0.954 0 0 14.931 0.954 12.890 0.086 1995 1 16.517 1.414 0 0 16.517 1.414 14.098 0.168 1995 2 16.141 0.915 0 0 16.141 0.915 14.561 0.507 1995 3 15.337 1.036 0 0 15.337 1.036 13.559 0.431 1995 4 12.939 0.672 0 0 12.939 0.672 11.899 0.805 1995 5 9.983 -0.144 0 0 9.983 -0.144 9.728 0.773 1995 6 6.895 -1.129 0 0 6.895 -1.129 6.823 -0.028 1995 7 5.156 -2.280 0 0 5.156 -2.280 4.982 -1.281 1995 8 7.697 -0.577 0 0 7.697 -0.577 7.100 -0.001 1995 9 8.935 -0.825 0 0 8.935 -0.825 8.413 -0.174 1995 10 10.754 -0.220 0 0 10.754 -0.220 9.295 -0.507 1995 11 13.180 0.744 0 0 13.180 0.744 10.859 -0.404 1995 12 15.742 1.764 1 0 NaN NaN 13.976 1.171 1996 1 16.590 1.487 0 0 16.590 1.487 14.611 0.681 1996 2 15.923 0.697 0 0 15.923 0.697 14.417 0.364 1996 3 13.964 -0.337 0 0 13.964 -0.337 12.470 -0.659 1996 4 12.686 0.419 0 0 12.686 0.419 11.641 0.547 1996 5 9.909 -0.219 0 0 9.909 -0.219 9.215 0.261 1996 6 6.669 -1.355 0 0 6.669 -1.355 6.397 -0.454 1996 7 NaN NaN NaN NaN NaN NaN 5.910 -0.353 1996 8 NaN NaN NaN NaN NaN NaN 6.440 -0.661 1996 9 NaN NaN NaN NaN NaN NaN 9.821 1.233 1996 10 NaN NaN NaN NaN NaN NaN 10.569 0.767 1996 11 NaN NaN NaN NaN NaN NaN 10.518 -0.746 1996 12 NaN NaN NaN NaN NaN NaN 12.577 -0.228 1997 1 NaN NaN NaN NaN NaN NaN 12.899 -1.031 1997 2 NaN NaN NaN NaN NaN NaN 14.390 0.337 1997 3 NaN NaN NaN NaN NaN NaN 12.173 -0.955 1997 4 NaN NaN NaN NaN NaN NaN 10.553 -0.541 1997 5 NaN NaN NaN NaN NaN NaN 9.999 1.045 1997 6 NaN NaN NaN NaN NaN NaN 7.111 0.260