% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 25929 % Primary Name: AGUA NUEVA % Record Type: TAVG % Country: United States % State: TX % Latitude: 26.90000 +/- 0.00833 % Longitude: -98.60000 +/- 0.00833 % Elevation (m): 139.90 +/- 0.05 % # of Months: 54 % % IDs: coop - 410081 % ghcnd - USC00410081 % ncdc - 20024145 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 8e435012b9a68e1c3b35305edd9f6813 % Raw Data Hash: 2b53aedaec43e10df32c6b70d829fd5d % Adj Data Hash: f2d5442fd3e75b2796da528584d52499 % % 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 1958 1 NaN NaN NaN NaN NaN NaN 12.567 -1.332 1958 2 NaN NaN NaN NaN NaN NaN 14.562 -1.534 1958 3 NaN NaN NaN NaN NaN NaN 17.256 -3.039 1958 4 NaN NaN NaN NaN NaN NaN 24.579 0.311 1958 5 NaN NaN NaN NaN NaN NaN 26.460 -0.475 1958 6 NaN NaN NaN NaN NaN NaN 30.063 0.882 1958 7 NaN NaN NaN NaN NaN NaN 30.157 0.129 1958 8 NaN NaN NaN NaN NaN NaN 31.162 1.192 1958 9 NaN NaN NaN NaN NaN NaN 28.544 0.785 1958 10 NaN NaN NaN NaN NaN NaN 21.932 -1.478 1958 11 NaN NaN NaN NaN NaN NaN 18.804 0.316 1958 12 NaN NaN NaN NaN NaN NaN 13.208 -1.723 1959 1 12.444 -0.975 0 0 12.444 -0.975 12.138 -1.761 1959 2 16.056 0.438 0 0 16.056 0.438 14.766 -1.331 1959 3 NaN NaN NaN NaN NaN NaN 18.121 -2.174 1959 4 22.111 -1.678 0 0 22.111 -1.678 22.231 -2.038 1959 5 27.556 1.099 0 0 27.556 1.099 27.937 1.001 1959 6 28.667 -0.035 0 0 28.667 -0.035 29.267 0.086 1959 7 NaN NaN NaN NaN NaN NaN 30.171 0.143 1959 8 30.111 0.621 0 0 30.111 0.621 30.487 0.517 1959 9 NaN NaN NaN NaN NaN NaN 29.338 1.578 1959 10 24.278 1.346 0 0 24.278 1.346 24.320 0.909 1959 11 15.000 -3.009 0 0 15.000 -3.009 15.467 -3.021 1959 12 15.111 0.660 0 0 15.111 0.660 15.575 0.644 1960 1 14.111 0.692 0 0 14.111 0.692 14.164 0.266 1960 2 13.722 -1.895 0 0 13.722 -1.895 13.807 -2.290 1960 3 17.222 -2.594 0 0 17.222 -2.594 17.406 -2.890 1960 4 24.556 0.767 0 0 24.556 0.767 24.462 0.194 1960 5 28.056 1.599 0 0 28.056 1.599 26.418 -0.518 1960 6 30.389 1.687 0 0 30.389 1.687 30.052 0.871 1960 7 30.000 0.451 0 0 30.000 0.451 30.737 0.709 1960 8 29.167 -0.323 0 0 29.167 -0.323 30.216 0.246 1960 9 25.222 -2.058 0 0 25.222 -2.058 26.677 -1.082 1960 10 25.444 2.513 0 0 25.444 2.513 25.356 1.945 1960 11 NaN NaN NaN NaN NaN NaN 19.272 0.783 1960 12 NaN NaN NaN NaN NaN NaN 12.814 -2.116 1961 1 10.444 -2.975 0 0 10.444 -2.975 10.856 -3.043 1961 2 15.889 0.271 0 0 15.889 0.271 15.833 -0.264 1961 3 23.111 3.295 0 0 23.111 3.295 22.241 1.946 1961 4 23.389 -0.400 0 0 23.389 -0.400 23.698 -0.570 1961 5 27.944 1.488 0 0 27.944 1.488 27.922 0.987 1961 6 NaN NaN NaN NaN NaN NaN 29.468 0.287 1961 7 28.056 -1.493 0 0 28.056 -1.493 29.590 -0.439 1961 8 27.333 -2.157 0 0 27.333 -2.157 29.255 -0.715 1961 9 25.283 -1.997 1 0 NaN NaN 27.670 -0.089 1961 10 NaN NaN NaN NaN NaN NaN 23.220 -0.191 1961 11 NaN NaN NaN NaN NaN NaN 17.604 -0.885 1961 12 15.333 0.882 0 0 15.333 0.882 15.760 0.829 1962 1 11.278 -2.142 0 0 11.278 -2.142 11.084 -2.815 1962 2 21.111 5.494 0 0 21.111 5.494 21.051 4.954 1962 3 17.611 -2.205 0 0 17.611 -2.205 18.797 -1.498 1962 4 22.889 -0.900 0 0 22.889 -0.900 24.061 -0.207 1962 5 27.278 0.822 0 0 27.278 0.822 27.143 0.207 1962 6 28.944 0.243 0 0 28.944 0.243 29.487 0.305 1962 7 30.111 0.562 0 0 30.111 0.562 30.787 0.759 1962 8 30.111 0.621 0 0 30.111 0.621 31.180 1.211 1962 9 27.556 0.276 0 0 27.556 0.276 29.025 1.266 1962 10 24.556 1.624 0 0 24.556 1.624 26.390 2.979 1962 11 16.944 -1.065 0 0 16.944 -1.065 18.718 0.229 1962 12 13.518 -0.933 1 0 NaN NaN 14.109 -0.821 1963 1 10.111 -3.308 0 0 10.111 -3.308 10.919 -2.980 1963 2 13.722 -1.895 0 0 13.722 -1.895 14.473 -1.624 1963 3 19.278 -0.538 0 0 19.278 -0.538 21.685 1.389 1963 4 25.556 1.767 0 0 25.556 1.767 27.495 3.227 1963 5 26.667 0.210 0 0 26.667 0.210 27.136 0.200 1963 6 30.000 1.298 0 0 30.000 1.298 30.057 0.876 1963 7 30.222 0.673 0 0 30.222 0.673 29.968 -0.060 1963 8 29.444 -0.046 0 0 29.444 -0.046 30.812 0.843 1963 9 27.000 -0.280 0 0 27.000 -0.280 28.391 0.631 1963 10 NaN NaN NaN NaN NaN NaN 24.106 0.695 1963 11 20.556 2.546 0 0 20.556 2.546 19.712 1.223 1963 12 10.500 -3.951 0 0 10.500 -3.951 10.900 -4.030 1964 1 12.778 -0.642 0 0 12.778 -0.642 13.463 -0.435 1964 2 13.667 -1.951 0 0 13.667 -1.951 13.527 -2.570 1964 3 19.500 -0.316 0 0 19.500 -0.316 20.140 -0.155 1964 4 NaN NaN NaN NaN NaN NaN 26.010 1.742 1964 5 NaN NaN NaN NaN NaN NaN 27.681 0.745 1964 6 NaN NaN NaN NaN NaN NaN 28.869 -0.312 1964 7 NaN NaN NaN NaN NaN NaN 30.487 0.458 1964 8 NaN NaN NaN NaN NaN NaN 31.558 1.588 1964 9 NaN NaN NaN NaN NaN NaN 28.964 1.205 1964 10 NaN NaN NaN NaN NaN NaN 21.806 -1.604 1964 11 NaN NaN NaN NaN NaN NaN 20.730 2.242 1964 12 NaN NaN NaN NaN NaN NaN 14.545 -0.386 1965 1 NaN NaN NaN NaN NaN NaN 16.264 2.365 1965 2 NaN NaN NaN NaN NaN NaN 14.404 -1.692 1965 3 NaN NaN NaN NaN NaN NaN 17.745 -2.551