# Tag Info

## Hot answers tagged weatherdata

15

The most important reanalysis datasets covering until present time (I'm excluding the others that stop some years before present time) currently available are: ERA5 by ECWMF: 1979-present (soon 1950-present), temporal resolution of 1 hour and spatial resolution quarter degree (0.25 x 0.25); CRU by the UEA: 1900-present (some variables 1850-present), ...

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...measured in mol/m² within the total or tropospheric column. Is it possible to deduce concentrations for a specific slice of the troposphere? Not really, since you have a crucial bit of information missing: the vertical distribution. Your alternatives are: Combine satellite data with a model to estimate near-surface NO₂. The model may be able to ...

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"Ship of opportunity" weather observations have contributed to global data collection exercises since the dawn of meteorology as a science. There are many national and international initiatives that collect data and the data already inform weather forecasts and climate models. The practice is summarised in https://www.frontiersin.org/articles/10....

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You can download the near surface features explicitly (click "Single levels" radio button). Then select each variable that has "near surface" or "surface," in the name or is intuitively a surface property (such as sea level pressure). For your own edification, pressure levels decrease with height. The 1000 hPa level corresponds ...

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I am presently working on exactly this. I am using climate reanalysis data, to fill in the 'empties' since my climate stations are far away from each other. Or, sometime, I have N/A's in my series that I would like to fill-in or relate. From the Copernicus site: Climate reanalyses combine past observations with models to generate consistent time series of ...

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tl;dr I would suggest using the Toolbox of the Copernicus CDS. Via the Toolbox, you can choose datasets, process them and download the processed results. You have to be registered and logged-in to use the Toolbox. How to find out how to select the dataset of interest Use the search of the CDS and go to the bottom of the page. There, you can click/tab Show ...

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Welcome to Earth Science SE! Given that the crisis is still ongoing, I doubt we know the full extent of the impact (forecasting the weather is hard enough, forecasting the impact of a pandemic is outside my expertise). But, at least one conference was supposed t o go to was cancelled. And I know the lack of airplane obs is impacting data assimilation. ...

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If you are trying to do a model skill assessment, then the best way is to try to use observations that have a similar footprint to the model. I would recommend you try remote sensed data. A good place to begin is here. If you are looking for observations at a point in the Mediterranean, you can try in Copernicus. If you are a registered user of ECMWF ...

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Unfortunately, what you want may not be actually available. It is standard to make measurements of snow every 24 hours. This is because it is well known that frequent observations of snowfall will exceed the total accumulated snowfall. The total accumulation of snow is not equal to the sum of the accumulated rate of the integral. That is, \Delta S \ne\int_{...

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The ECMWF (European Centre for Medium-Range Weather Forecasts) has published an article about the topic on 24 March 2020: By 23 March there was a reduction of 65% in [European aircraft] reports received compared to 3 March. Globally the reduction was about 42%. [...] In 2019 a test was run: a series of forecasts without using aircraft reports (but ...

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Is there a project that tracks and publishes data regarding weather prediction errors on a regular basis that would help with analyzing the correlation between incoming data and prediction error? The World Meteorological Organization has several initiatives that track forecast performance. See for example here. The data is a bit delayed, as of today (Apr 5, ...

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Model data seta can vary in several ways from a reference data set. Taylor diagrams visually compare multiple datasets output to a reference dataset (e.g., model experiments to observations). This is done by exploiting the geometric relationship between centered RMS, correlation, and standard deviation when computing differences between datasets. Several ...

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