We draw particular cautious attention to our reliance on the MERRA-2 model-based reconstructions for a number of important data series. We assume no responsibility for any decisions made on the basis of the content presented on this site. Weather data is prone to errors, outages, and other defects. The information on this site is provided as is, without any assurances as to its accuracy or suitability for any purpose.

Time zones for airports and weather stations are provided by. Names, locations, and time zones of places and some airports come from the GeoNames Geographical Database. Land Use data comes from the Global Land Cover SHARE database, published by the Food and Agriculture Organization of the United Nations.Įlevation data comes from the Shuttle Radar Topography Mission (SRTM), published by NASA's Jet Propulsion Laboratory. This reanalysis combines a variety of wide-area measurements in a state-of-the-art global meteorological model to reconstruct the hourly history of weather throughout the world on a 50-kilometer grid. Please note that each source's contribution is adjusted for elevation and the relative change present in the MERRA-2 data.Īll data relating to the Sun's position (e.g., sunrise and sunset) are computed using astronomical formulas from the book, Astronomical Algorithms 2nd Edition, by Jean Meeus.Īll other weather data, including cloud cover, precipitation, wind speed and direction, and solar flux, come from NASA's MERRA-2 Modern-Era Retrospective Analysis. To get a sense of how much these sources agree with each other, you can view a comparison of Stanford and the stations that contribute to our estimates of its temperature history and climate. KNUQ, 57% 7 mi, -36 ft KSQL, 43% 8 mi, -69 ft © OpenStreetMap contributors

San Carlos Airport (KSQL, 43%, 8 mi, northwest, -69 ft elevation change).Moffett Federal Airfield (KNUQ, 57%, 7 mi, east, -36 ft elevation change).The stations contributing to this reconstruction are: The estimated value at Stanford is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Stanford and a given station. There are 2 weather stations near enough to contribute to our estimation of the temperature and dew point in Stanford.įor each station, the records are corrected for the elevation difference between that station and Stanford according to the International Standard Atmosphere, and by the relative change present in the MERRA-2 satellite-era reanalysis between the two locations. This report illustrates the typical weather in Stanford, based on a statistical analysis of historical hourly weather reports and model reconstructions from Januto December 31, 2016.

Axis stanford summer session