% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 173888 % Primary Name: ZAPADNY ARNASAY % Record Type: TAVG % Country: Uzbekistan % Latitude: 40.83300 +/- 0.00050 % Longitude: 67.66700 +/- 0.00050 % Elevation (m): 250.00 +/- 0.05 % # of Months: 58 % % IDs: gsod - 385820-99999 % usaf - 385820 % wmo - 38582 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 80e96d33a3e5b7e8d941a2a6876be6a3 % Raw Data Hash: 171bf1c6aa01638024cf648bfcc06d82 % Adj Data Hash: 2c447a4ee70dfeb66a97a10a6f6660b3 % % 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 2.591 4.224 1958 2 NaN NaN NaN NaN NaN NaN 4.999 4.054 1958 3 NaN NaN NaN NaN NaN NaN 9.658 2.446 1958 4 NaN NaN NaN NaN NaN NaN 13.955 -0.868 1958 5 NaN NaN NaN NaN NaN NaN 17.930 -2.770 1958 6 NaN NaN NaN NaN NaN NaN 25.965 0.292 1958 7 NaN NaN NaN NaN NaN NaN 28.172 0.546 1958 8 NaN NaN NaN NaN NaN NaN 24.255 -0.925 1958 9 NaN NaN NaN NaN NaN NaN 19.074 -0.752 1958 10 NaN NaN NaN NaN NaN NaN 12.560 -0.098 1958 11 NaN NaN NaN NaN NaN NaN 2.470 -3.325 1958 12 NaN NaN NaN NaN NaN NaN 2.587 1.695 1959 1 -0.515 2.290 0 0 -0.515 2.290 -0.103 1.531 1959 2 3.456 3.683 1 0 NaN NaN -0.097 -1.041 1959 3 5.757 -0.284 1 0 NaN NaN 5.789 -1.423 1959 4 17.434 3.782 1 0 NaN NaN 17.212 2.389 1959 5 21.923 2.393 1 0 NaN NaN 19.706 -0.995 1959 6 25.809 1.307 1 0 NaN NaN 25.230 -0.443 1959 7 23.650 -2.804 1 0 NaN NaN 25.958 -1.667 1959 8 23.715 -0.293 0 0 23.715 -0.293 25.378 0.198 1959 9 21.374 2.718 1 0 NaN NaN 22.239 2.412 1959 10 13.543 2.056 1 0 NaN NaN 12.964 0.307 1959 11 7.188 2.564 1 0 NaN NaN 3.370 -2.426 1959 12 -4.691 -4.413 1 0 NaN NaN -3.223 -4.116 1960 1 1.288 4.093 1 0 NaN NaN 1.275 2.909 1960 2 5.537 5.764 1 0 NaN NaN 5.188 4.244 1960 3 2.755 -3.286 1 0 NaN NaN 2.137 -5.075 1960 4 11.313 -2.339 0 0 11.313 -2.339 12.839 -1.984 1960 5 17.241 -2.288 1 0 NaN NaN 17.612 -3.089 1960 6 25.463 0.961 1 0 NaN NaN 26.006 0.333 1960 7 25.222 -1.232 0 0 25.222 -1.232 25.863 -1.763 1960 8 22.932 -1.077 0 0 22.932 -1.077 24.546 -0.633 1960 9 19.534 0.878 1 0 NaN NaN 19.300 -0.526 1960 10 13.447 1.960 1 0 NaN NaN 13.514 0.856 1960 11 9.048 4.424 1 0 NaN NaN 4.643 -1.153 1960 12 -2.959 -2.681 1 0 NaN NaN 0.161 -0.732 1961 1 2.271 5.076 1 0 NaN NaN 0.529 2.163 1961 2 2.370 2.597 1 0 NaN NaN 0.939 -0.005 1961 3 9.181 3.140 1 0 NaN NaN 8.207 0.995 1961 4 15.383 1.731 1 0 NaN NaN 15.310 0.487 1961 5 23.080 3.550 1 0 NaN NaN 24.029 3.328 1961 6 26.429 1.927 1 0 NaN NaN 25.877 0.204 1961 7 26.738 0.283 1 0 NaN NaN 28.011 0.386 1961 8 23.872 -0.137 1 0 NaN NaN 25.279 0.099 1961 9 19.012 0.356 1 0 NaN NaN 20.226 0.399 1961 10 10.098 -1.389 1 0 NaN NaN 10.714 -1.944 1961 11 6.696 2.072 1 0 NaN NaN 6.745 0.950 1961 12 4.575 4.854 1 0 NaN NaN 3.723 2.830 1962 1 -0.474 2.331 1 0 NaN NaN -1.133 0.501 1962 2 7.950 8.177 1 0 NaN NaN 5.186 4.242 1962 3 15.917 9.876 1 0 NaN NaN 11.523 4.311 1962 4 14.639 0.987 1 0 NaN NaN 14.388 -0.435 1962 5 21.567 2.038 1 0 NaN NaN 20.311 -0.390 1962 6 25.923 1.420 1 0 NaN NaN 25.129 -0.544 1962 7 29.604 3.150 1 0 NaN NaN 28.834 1.209 1962 8 24.076 0.068 1 0 NaN NaN 25.214 0.035 1962 9 17.613 -1.043 1 0 NaN NaN 18.809 -1.018 1962 10 21.473 9.987 1 0 NaN NaN 12.758 0.100 1962 11 5.922 1.298 1 0 NaN NaN 2.240 -3.556 1962 12 NaN NaN NaN NaN NaN NaN 0.280 -0.612 1963 1 NaN NaN NaN NaN NaN NaN 2.839 4.473 1963 2 16.445 16.672 1 0 NaN NaN 6.815 5.870 1963 3 10.783 4.742 1 0 NaN NaN 8.554 1.342 1963 4 17.576 3.924 1 0 NaN NaN 16.238 1.414 1963 5 21.665 2.136 1 0 NaN NaN 20.610 -0.091 1963 6 27.228 2.726 1 0 NaN NaN 26.632 0.959 1963 7 26.960 0.505 1 0 NaN NaN 27.148 -0.477 1963 8 23.390 -0.618 1 0 NaN NaN 23.894 -1.285 1963 9 20.483 1.827 1 0 NaN NaN 19.534 -0.293 1963 10 14.280 2.794 1 0 NaN NaN 14.885 2.227 1963 11 6.640 2.016 1 0 NaN NaN 6.517 0.722 1963 12 0.032 0.310 1 0 NaN NaN 0.846 -0.046 1964 1 NaN NaN NaN NaN NaN NaN -5.100 -3.467 1964 2 NaN NaN NaN NaN NaN NaN 1.068 0.123 1964 3 NaN NaN NaN NaN NaN NaN 8.889 1.677 1964 4 NaN NaN NaN NaN NaN NaN 13.454 -1.369 1964 5 NaN NaN NaN NaN NaN NaN 19.704 -0.996 1964 6 NaN NaN NaN NaN NaN NaN 25.172 -0.501 1964 7 NaN NaN NaN NaN NaN NaN 26.826 -0.800 1964 8 NaN NaN NaN NaN NaN NaN 24.756 -0.424 1964 9 NaN NaN NaN NaN NaN NaN 19.468 -0.359 1964 10 NaN NaN NaN NaN NaN NaN 10.356 -2.302 1964 11 NaN NaN NaN NaN NaN NaN 7.587 1.792 1964 12 NaN NaN NaN NaN NaN NaN -1.925 -2.817