% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29015 % Primary Name: ANACAPA ISLAND % Record Type: TAVG % Country: United States % State: CA % Latitude: 34.01670 +/- 0.00005 % Longitude: -119.36670 +/- 0.00005 % Elevation (m): 42.50 +/- 0.55 % # of Months: 94 % % IDs: coop - 40188 % faa - L46 % faa - NMQ % ghcnd - USC00040188 % gsod - 722898-99999 % icao - KL46 % ncdc - 20001672 % ncdc - 20001674 % nws - NMQ % usaf - 722898 % wban - 93125 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Global Summary of the Day % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 4c600e501e042a6dd12415c25ae4917c % Raw Data Hash: 1f3f32e1630201a057e286503c0452fc % Adj Data Hash: c6adea9d25e918ef6ed2612cb898c299 % % 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 1945 8 NaN NaN NaN NaN NaN NaN 23.328 0.152 1945 9 NaN NaN NaN NaN NaN NaN 22.241 1.063 1945 10 NaN NaN NaN NaN NaN NaN 17.523 0.495 1945 11 NaN NaN NaN NaN NaN NaN 12.203 -0.339 1945 12 NaN NaN NaN NaN NaN NaN 9.206 -0.193 1946 1 NaN NaN NaN NaN NaN NaN 8.982 0.079 1946 2 NaN NaN NaN NaN NaN NaN 9.123 -1.246 1946 3 NaN NaN NaN NaN NaN NaN 10.746 -0.651 1946 4 NaN NaN NaN NaN NaN NaN 14.633 1.207 1946 5 NaN NaN NaN NaN NaN NaN 15.730 -0.731 1946 6 NaN NaN NaN NaN NaN NaN 20.076 0.157 1946 7 NaN NaN NaN NaN NaN NaN 23.913 0.517 1946 8 18.444 -4.363 0 0 18.444 -4.363 23.203 0.027 1946 9 NaN NaN NaN NaN NaN NaN 21.966 0.788 1946 10 17.389 0.729 0 0 17.389 0.729 15.336 -1.693 1946 11 14.444 2.272 0 0 14.444 2.272 10.578 -1.963 1946 12 13.222 4.192 0 0 13.222 4.192 9.557 0.158 1947 1 12.444 3.910 0 0 12.444 3.910 7.967 -0.936 1947 2 13.333 3.334 0 0 13.333 3.334 11.645 1.277 1947 3 14.000 2.972 0 0 14.000 2.972 12.368 0.972 1947 4 14.889 1.832 0 0 14.889 1.832 14.580 1.155 1947 5 15.111 -0.981 0 0 15.111 -0.981 17.959 1.498 1947 6 17.333 -2.218 0 0 17.333 -2.218 19.370 -0.550 1947 7 18.333 -4.695 0 0 18.333 -4.695 23.059 -0.338 1947 8 18.333 -4.474 0 0 18.333 -4.474 21.731 -1.446 1947 9 17.222 -3.588 0 0 17.222 -3.588 22.469 1.290 1947 10 17.556 0.896 0 0 17.556 0.896 17.102 0.074 1947 11 14.444 2.272 0 0 14.444 2.272 10.571 -1.970 1947 12 13.444 4.414 0 0 13.444 4.414 8.713 -0.686 1948 1 13.000 4.466 0 0 13.000 4.466 10.811 1.908 1948 2 11.722 1.723 0 0 11.722 1.723 9.021 -1.347 1948 3 11.778 0.750 0 0 11.778 0.750 8.810 -2.586 1948 4 13.556 0.499 0 0 13.556 0.499 13.123 -0.302 1948 5 14.278 -1.815 0 0 14.278 -1.815 15.552 -0.909 1948 6 16.611 -2.940 0 0 16.611 -2.940 18.713 -1.207 1948 7 17.333 -5.695 0 0 17.333 -5.695 22.184 -1.213 1948 8 17.222 -5.585 0 0 17.222 -5.585 21.698 -1.479 1948 9 17.222 -3.588 0 0 17.222 -3.588 21.352 0.174 1948 10 15.667 -0.993 1 0 NaN NaN 16.771 -0.257 1948 11 15.556 3.383 0 0 15.556 3.383 12.208 -0.333 1948 12 12.278 3.247 0 0 12.278 3.247 7.153 -2.246 1949 1 9.111 0.577 0 0 9.111 0.577 4.350 -4.553 1949 2 10.667 0.667 0 0 10.667 0.667 7.739 -2.629 1949 3 12.056 1.028 0 0 12.056 1.028 9.610 -1.786 1949 4 14.167 1.110 0 0 14.167 1.110 15.146 1.721 1949 5 15.389 -0.703 0 0 15.389 -0.703 16.190 -0.271 1949 6 16.333 -3.218 0 0 16.333 -3.218 20.353 0.434 1949 7 16.667 -6.361 0 0 16.667 -6.361 22.707 -0.690 1949 8 17.667 -5.141 0 0 17.667 -5.141 21.915 -1.261 1949 9 17.833 -2.976 0 0 17.833 -2.976 22.167 0.988 1949 10 15.722 -0.937 1 0 NaN NaN 16.190 -0.839 1949 11 16.111 3.939 0 0 16.111 3.939 15.726 3.185 1949 12 12.611 3.581 0 0 12.611 3.581 8.340 -1.060 1950 1 10.611 2.077 0 0 10.611 2.077 6.383 -2.520 1950 2 11.556 1.556 0 0 11.556 1.556 10.938 0.570 1950 3 12.833 1.806 0 0 12.833 1.806 11.370 -0.026 1950 4 13.389 0.332 0 0 13.389 0.332 14.909 1.484 1950 5 13.556 -2.537 0 0 13.556 -2.537 15.911 -0.550 1950 6 15.222 -4.329 0 0 15.222 -4.329 18.752 -1.167 1950 7 17.500 -5.528 0 0 17.500 -5.528 24.038 0.641 1950 8 15.833 -6.974 0 0 15.833 -6.974 22.530 -0.646 1950 9 17.278 -3.532 0 0 17.278 -3.532 20.291 -0.888 1950 10 16.778 0.118 0 0 16.778 0.118 18.366 1.338 1950 11 16.111 3.939 0 0 16.111 3.939 14.801 2.259 1950 12 14.833 5.803 0 0 14.833 5.803 12.353 2.954 1951 1 12.722 4.188 0 0 12.722 4.188 8.900 -0.003 1951 2 11.667 1.667 0 0 11.667 1.667 9.928 -0.440 1951 3 13.056 2.028 0 0 13.056 2.028 11.365 -0.031 1951 4 12.667 -0.390 0 0 12.667 -0.390 13.620 0.194 1951 5 13.222 -2.870 0 0 13.222 -2.870 16.499 0.038 1951 6 15.889 -3.662 0 0 15.889 -3.662 19.165 -0.755 1951 7 17.222 -5.806 0 0 17.222 -5.806 23.836 0.439 1951 8 17.444 -5.363 0 0 17.444 -5.363 22.438 -0.738 1951 9 18.056 -2.754 0 0 18.056 -2.754 22.316 1.137 1951 10 18.000 1.340 0 0 18.000 1.340 17.213 0.185 1951 11 15.611 3.439 0 0 15.611 3.439 12.254 -0.287 1951 12 12.500 3.470 0 0 12.500 3.470 7.751 -1.648 1952 1 11.611 3.077 0 0 11.611 3.077 7.058 -1.845 1952 2 13.167 3.167 0 0 13.167 3.167 10.317 -0.051 1952 3 11.389 0.361 0 0 11.389 0.361 8.310 -3.086 1952 4 13.444 0.388 0 0 13.444 0.388 13.338 -0.088 1952 5 14.556 -1.537 0 0 14.556 -1.537 17.755 1.294 1952 6 15.278 -4.273 0 0 15.278 -4.273 17.148 -2.772 1952 7 15.556 -7.473 0 0 15.556 -7.473 23.370 -0.027 1952 8 16.667 -6.141 0 0 16.667 -6.141 23.138 -0.038 1952 9 17.111 -3.699 0 0 17.111 -3.699 22.300 1.121 1952 10 15.556 -1.104 1 0 NaN NaN 18.446 1.417 1952 11 14.389 2.216 0 0 14.389 2.216 10.835 -1.706 1952 12 12.944 3.914 0 0 12.944 3.914 8.728 -0.671 1953 1 14.444 5.910 0 0 14.444 5.910 11.563 2.660 1953 2 13.222 3.223 0 0 13.222 3.223 10.576 0.208 1953 3 12.556 1.528 0 0 12.556 1.528 10.737 -0.659 1953 4 11.833 -1.223 0 0 11.833 -1.223 12.338 -1.088 1953 5 14.333 -1.759 0 0 14.333 -1.759 14.367 -2.094 1953 6 15.111 -4.440 0 0 15.111 -4.440 17.649 -2.270 1953 7 17.333 -5.695 0 0 17.333 -5.695 24.670 1.273 1953 8 17.222 -5.585 0 0 17.222 -5.585 21.517 -1.660 1953 9 16.944 -3.865 0 0 16.944 -3.865 21.496 0.317 1953 10 17.556 0.896 0 0 17.556 0.896 17.102 0.074 1953 11 15.444 3.272 0 0 15.444 3.272 13.381 0.840 1953 12 14.667 5.636 0 0 14.667 5.636 9.962 0.563 1954 1 12.500 3.966 0 0 12.500 3.966 8.674 -0.229 1954 2 14.889 4.890 0 0 14.889 4.890 13.349 2.981 1954 3 12.389 1.361 0 0 12.389 1.361 9.814 -1.583 1954 4 13.512 0.455 0 0 13.512 0.455 14.680 1.255 1954 5 14.556 -1.537 0 0 14.556 -1.537 17.297 0.836 1954 6 16.444 -3.107 0 0 16.444 -3.107 18.819 -1.101 1954 7 NaN NaN NaN NaN NaN NaN 25.097 1.700 1954 8 NaN NaN NaN NaN NaN NaN 21.531 -1.645 1954 9 NaN NaN NaN NaN NaN NaN 20.772 -0.407 1954 10 NaN NaN NaN NaN NaN NaN 16.555 -0.473 1954 11 NaN NaN NaN NaN NaN NaN 13.696 1.154 1954 12 NaN NaN NaN NaN NaN NaN 9.059 -0.340 1955 1 NaN NaN NaN NaN NaN NaN 6.917 -1.986 1955 2 NaN NaN NaN NaN NaN NaN 9.096 -1.272 1955 3 NaN NaN NaN NaN NaN NaN 11.490 0.094 1955 4 NaN NaN NaN NaN NaN NaN 12.150 -1.276 1955 5 NaN NaN NaN NaN NaN NaN 15.583 -0.878 1955 6 NaN NaN NaN NaN NaN NaN 18.555 -1.365