% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35221 % Primary Name: HUMBOLDT FIELD % Record Type: TAVG % Country: United States % State: NV % Latitude: 40.08330 +/- 0.00005 % Longitude: -118.15000 +/- 0.00005 % Elevation (m): 1268.00 +/- 0.05 % # of Months: 95 % % Alternate Names: HUMBOLDT FLD % Missing Station ID - 263853 % % IDs: coop - 263853 % ghcnd - USC00263853 % ncdc - 20019201 % wban - 24124 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 1fc513ea0cbbfb427e39fa01eb2b29a6 % Raw Data Hash: f3e9731e72ffe8f0aec7884fba1e5689 % Adj Data Hash: 3bfc7844e453575c05197ad8ea6d0f9b % % 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 1938 12 NaN NaN NaN NaN NaN NaN 0.906 1.339 1939 1 NaN NaN NaN NaN NaN NaN 0.209 0.923 1939 2 NaN NaN NaN NaN NaN NaN -0.701 -3.181 1939 3 NaN NaN NaN NaN NaN NaN 5.840 0.778 1939 4 NaN NaN NaN NaN NaN NaN 11.312 2.709 1939 5 NaN NaN NaN NaN NaN NaN 14.727 1.087 1939 6 NaN NaN NaN NaN NaN NaN 17.818 -0.689 1939 7 NaN NaN NaN NaN NaN NaN 23.518 0.578 1939 8 NaN NaN NaN NaN NaN NaN 22.867 1.420 1939 9 NaN NaN NaN NaN NaN NaN 17.018 0.145 1939 10 NaN NaN NaN NaN NaN NaN 10.630 0.049 1939 11 NaN NaN NaN NaN NaN NaN 5.386 1.471 1939 12 2.389 2.826 0 0 2.389 2.826 2.917 3.350 1940 1 0.111 0.830 0 0 0.111 0.830 0.500 1.214 1940 2 4.000 1.525 0 0 4.000 1.525 4.233 1.753 1940 3 7.111 2.053 0 0 7.111 2.053 6.323 1.261 1940 4 10.111 1.513 0 0 10.111 1.513 9.370 0.767 1940 5 16.667 3.031 0 0 16.667 3.031 16.582 2.942 1940 6 21.500 2.997 0 0 21.500 2.997 20.881 2.374 1940 7 24.000 1.064 0 0 24.000 1.064 22.510 -0.431 1940 8 23.333 1.891 0 0 23.333 1.891 22.560 1.113 1940 9 16.222 -0.646 0 0 16.222 -0.646 16.003 -0.869 1940 10 11.333 0.757 0 0 11.333 0.757 12.098 1.517 1940 11 2.111 -1.799 0 0 2.111 -1.799 2.847 -1.068 1940 12 1.000 1.437 0 0 1.000 1.437 1.271 1.703 1941 1 2.556 3.274 0 0 2.556 3.274 1.897 2.611 1941 2 5.167 2.691 0 0 5.167 2.691 5.052 2.572 1941 3 6.111 1.053 0 0 6.111 1.053 5.676 0.613 1941 4 7.444 -1.153 0 0 7.444 -1.153 6.832 -1.771 1941 5 14.778 1.142 0 0 14.778 1.142 14.511 0.871 1941 6 17.111 -1.391 0 0 17.111 -1.391 16.656 -1.851 1941 7 23.889 0.953 0 0 23.889 0.953 23.422 0.482 1941 8 23.000 1.557 0 0 23.000 1.557 20.284 -1.163 1941 9 13.500 -3.368 0 0 13.500 -3.368 14.196 -2.677 1941 10 8.333 -2.243 0 0 8.333 -2.243 9.500 -1.080 1941 11 4.778 0.867 0 0 4.778 0.867 5.343 1.429 1941 12 1.667 2.104 0 0 1.667 2.104 1.272 1.704 1942 1 -6.167 -5.448 0 0 -6.167 -5.448 -3.373 -2.659 1942 2 0.556 -1.920 0 0 0.556 -1.920 0.918 -1.562 1942 3 3.556 -1.502 0 0 3.556 -1.502 3.529 -1.533 1942 4 8.778 0.180 0 0 8.778 0.180 8.389 -0.213 1942 5 11.444 -2.191 0 0 11.444 -2.191 11.409 -2.231 1942 6 17.111 -1.391 0 0 17.111 -1.391 16.851 -1.656 1942 7 23.722 0.786 0 0 23.722 0.786 24.139 1.199 1942 8 22.667 1.224 0 0 22.667 1.224 21.923 0.476 1942 9 16.556 -0.313 0 0 16.556 -0.313 16.717 -0.156 1942 10 11.000 0.424 0 0 11.000 0.424 11.767 1.186 1942 11 4.778 0.867 0 0 4.778 0.867 4.959 1.044 1942 12 1.222 1.659 0 0 1.222 1.659 1.428 1.860 1943 1 -0.500 0.219 0 0 -0.500 0.219 0.276 0.990 1943 2 4.111 1.636 0 0 4.111 1.636 4.448 1.968 1943 3 6.222 1.164 0 0 6.222 1.164 5.861 0.799 1943 4 11.778 3.180 0 0 11.778 3.180 11.017 2.415 1943 5 13.111 -0.524 0 0 13.111 -0.524 13.685 0.046 1943 6 15.944 -2.558 0 0 15.944 -2.558 15.058 -3.449 1943 7 23.333 0.398 0 0 23.333 0.398 23.085 0.144 1943 8 20.778 -0.665 0 0 20.778 -0.665 20.000 -1.448 1943 9 19.000 2.132 0 0 19.000 2.132 19.098 2.225 1943 10 10.778 0.201 0 0 10.778 0.201 11.481 0.900 1943 11 3.667 -0.244 0 0 3.667 -0.244 4.343 0.428 1943 12 -0.111 0.326 0 0 -0.111 0.326 -0.114 0.319 1944 1 -2.667 -1.948 0 0 -2.667 -1.948 -2.020 -1.306 1944 2 0.667 -1.809 0 0 0.667 -1.809 1.176 -1.304 1944 3 3.444 -1.614 0 0 3.444 -1.614 3.261 -1.801 1944 4 7.167 -1.431 0 0 7.167 -1.431 6.780 -1.822 1944 5 13.778 0.142 0 0 13.778 0.142 13.785 0.145 1944 6 15.333 -3.169 0 0 15.333 -3.169 14.815 -3.692 1944 7 22.389 -0.547 0 0 22.389 -0.547 22.024 -0.916 1944 8 20.611 -0.831 0 0 20.611 -0.831 20.349 -1.098 1944 9 17.111 0.243 0 0 17.111 0.243 17.363 0.490 1944 10 12.222 1.646 0 0 12.222 1.646 12.601 2.020 1944 11 2.000 -1.911 0 0 2.000 -1.911 2.071 -1.844 1944 12 -0.556 -0.119 0 0 -0.556 -0.119 -0.742 -0.310 1945 1 -2.000 -1.281 0 0 -2.000 -1.281 -0.567 0.147 1945 2 2.889 0.413 0 0 2.889 0.413 3.243 0.763 1945 3 3.889 -1.169 0 0 3.889 -1.169 2.882 -2.180 1945 4 7.222 -1.376 0 0 7.222 -1.376 7.634 -0.968 1945 5 13.611 -0.024 0 0 13.611 -0.024 13.352 -0.288 1945 6 16.556 -1.947 0 0 16.556 -1.947 16.187 -2.320 1945 7 24.667 1.731 0 0 24.667 1.731 23.975 1.034 1945 8 22.333 0.891 0 0 22.333 0.891 21.030 -0.417 1945 9 16.111 -0.757 0 0 16.111 -0.757 16.384 -0.489 1945 10 11.944 1.368 0 0 11.944 1.368 12.305 1.725 1945 11 4.111 0.201 0 0 4.111 0.201 4.377 0.462 1945 12 -0.167 0.270 0 0 -0.167 0.270 -0.112 0.321 1946 1 -1.444 -0.726 0 0 -1.444 -0.726 -0.214 0.501 1946 2 0.889 -1.587 0 0 0.889 -1.587 1.971 -0.509 1946 3 4.889 -0.169 0 0 4.889 -0.169 4.917 -0.146 1946 4 10.611 2.013 0 0 10.611 2.013 10.369 1.766 1946 5 13.111 -0.524 0 0 13.111 -0.524 13.941 0.301 1946 6 18.222 -0.280 0 0 18.222 -0.280 17.646 -0.861 1946 7 23.556 0.620 0 0 23.556 0.620 23.053 0.113 1946 8 23.167 1.724 0 0 23.167 1.724 22.204 0.757 1946 9 15.556 -1.313 0 0 15.556 -1.313 16.064 -0.809 1946 10 NaN NaN NaN NaN NaN NaN 7.952 -2.629 1946 11 4.075 0.164 1 0 NaN NaN 2.423 -1.492 1946 12 1.111 1.548 0 0 1.111 1.548 1.078 1.510 1947 1 -3.111 -2.392 0 0 -3.111 -2.392 -1.850 -1.136 1947 2 4.444 1.969 0 0 4.444 1.969 5.460 2.980 1947 3 6.222 1.164 0 0 6.222 1.164 6.401 1.338 1947 4 9.222 0.624 0 0 9.222 0.624 9.121 0.518 1947 5 16.833 3.198 0 0 16.833 3.198 16.600 2.960 1947 6 16.667 -1.836 0 0 16.667 -1.836 16.509 -1.998 1947 7 22.278 -0.658 0 0 22.278 -0.658 21.659 -1.282 1947 8 20.944 -0.498 0 0 20.944 -0.498 19.953 -1.494 1947 9 17.000 0.132 0 0 17.000 0.132 17.418 0.545 1947 10 10.889 0.313 0 0 10.889 0.313 11.606 1.026 1947 11 2.833 -1.078 1 0 NaN NaN 1.258 -2.657 1947 12 NaN NaN NaN NaN NaN NaN -1.040 -0.608 1948 1 NaN NaN NaN NaN NaN NaN 1.215 1.929 1948 2 NaN NaN NaN NaN NaN NaN 0.934 -1.546 1948 3 NaN NaN NaN NaN NaN NaN 1.990 -3.072 1948 4 NaN NaN NaN NaN NaN NaN 7.571 -1.031 1948 5 NaN NaN NaN NaN NaN NaN 12.753 -0.887 1948 6 NaN NaN NaN NaN NaN NaN 17.330 -1.177 1948 7 NaN NaN NaN NaN NaN NaN 21.998 -0.942 1948 8 NaN NaN NaN NaN NaN NaN 20.007 -1.440 1948 9 NaN NaN NaN NaN NaN NaN 16.658 -0.215 1948 10 NaN NaN NaN NaN NaN NaN 10.889 0.309 1948 11 NaN NaN NaN NaN NaN NaN 2.617 -1.298