Hi everybody,
does anybody know services that provide recent historical weather data?
Practical example: I want to obtain the wind speed for a certain point in Germany in 100 m altitude for the day/week before in (quarter-)hourly resolution.
The service windy.com provides something like this but only for forecasts: https://api.windy.com/point-forecast
An alternative could be openweathermap: https://openweathermap.org/price
But both are commercial services and I am looking for alternatives. Any hints?
Best wishes and thanks in advance,
Cord
Cord Kaldemeyer
Data Scientist
ARGE Netz GmbH & Co. KG
Haus der Zukunftsenergien, Otto-Hahn-Straße 12-16, 25813 Husum
Beisheim Center, Ebertstraße 2, 10117 Berlin
Mobil: +49 (0)176 - 457 013 43
Telefon: +49 (0)4841 - 89 44 - 667
Telefax: +49 (0)4841 - 89 44 - 679
kaldemeyer|at|arge-netz.de
Geschäftsführung: Stephan Frense (CEO), Henning Holst
Sitz der Gesellschaft: Husum
Amtsgericht Flensburg: HRA 6501 FL
USt.-ID Nr.: DE 26 727 1472
--
You received this message because you are subscribed to the Google Groups "openmod initiative" group.
To unsubscribe from this group and stop receiving emails from it, send an email to openmod-initiat...@googlegroups.com.
To view this discussion on the web, visit https://groups.google.com/d/msgid/openmod-initiative/2f0dd580-591d-47cc-b37c-06c17397927cn%40googlegroups.com.
Dear Cord et al,
Is worth a look at the COPERNICUS data store (+its associated API):
https://cds.climate.copernicus.eu/#!/home
This should help access many different forms of climate data (inc models, forecasts, reanalyses etc). In terms of your specific request, it may not help much with sub-hourly data but be able to assist with hourly (e.g., via ERA5).
Best wishes,
David
Geschäftsführung: Stephan Frense (CEO), Henning Holst
Sitz der Gesellschaft: Husum
Amtsgericht Flensburg: HRA 6501 FL
USt.-ID Nr.: DE 26 727 1472
--
You received this message because you are subscribed to the Google Groups "openmod initiative" group.
To unsubscribe from this group and stop receiving emails from it, send an email to openmod-initiat...@googlegroups.com.
To view this discussion on the web, visit https://groups.google.com/d/msgid/openmod-initiative/2f0dd580-591d-47cc-b37c-06c17397927cn%40googlegroups.com.
--
You received this message because you are subscribed to the Google Groups "openmod initiative" group.
To unsubscribe from this group and stop receiving emails from it, send an email to
openmod-initiat...@googlegroups.com.
To view this discussion on the web, visit
https://groups.google.com/d/msgid/openmod-initiative/6b862ed1-f6e2-4c5c-bbda-3cad0dd32dcbn%40googlegroups.com.
Hello all, hello Carsten (in direct cc)
To add that the Open Energy Ontology covers weather data:
In particular:
On re‑reading, it is not clear, to me at least, what
"average" means precisely in the articulated use‑case: the arithmetic
mean of the the start and end instantaneous values or
a synonym for "integrated" or with some nonlinear
weighting function applied or some kind of rolling average
or some other kind of mean or something else? (I
guess I could look on GitHub but the text needs to be clear too.)
Note that the OEO does not import a specialist parent ontology to cover weather information (as it does for financial concepts and for scientific units, for instance).
with best wishes, Robbie
To view this discussion on the web, visit https://groups.google.com/d/msgid/openmod-initiative/6B8D2DF7-0C14-4A67-9B53-EE833F1B7F2F%40reading.ac.uk.
-- Robbie Morrison Address: Schillerstrasse 85, 10627 Berlin, Germany Phone: +49.30.612-87617
To continue, could also be related to intensive
and extensive quantities, the former averaged and the
latter integrated .. desperately confused, R
To view this discussion on the web, visit https://groups.google.com/d/msgid/openmod-initiative/16cf6b2d-d4cc-49b3-308a-b9563543ffa2%40posteo.de.
Hi Carsten, all
Thanks! On reflection, there are two distinct types of variables alluded to on the y‑axis: intensive and extensive:
The "integrated" line applies to extensive variables and the "averaged" line to intensive variables.
So the problem lies mostly in the diagram and not with the underlying definitions themselves. I suggest therefore you make two diagrams or otherwise indicate this feature.
By the way, the concept of intensities and extensities applies to domains outside of thermodynamics, including price/quantity (p,Q) pairs in economics.
Sorry to keep flogging the horse, but I was very confused when I
first encountered this depiction.
with best wishes, Robbie
Hi everyone,
sorry for the late answer…..
Von: Robbie Morrison <robbie....@posteo.de>
Gesendet: Donnerstag, 20. Mai 2021 12:30
An: openmod-i...@googlegroups.com
Cc: Hoyer-Klick, Carsten <Carsten.H...@dlr.de>
Betreff: Re: [openmod-initiative] Re: APIs for recent historical weather data
Hello all, hello Carsten (in direct cc)
To add that the Open Energy Ontology covers weather data:
- Booshehri, Meisam, Lukas Emele, Simon Flügel, Hannah Förster, Johannes Frey, Ulrich Frey, Martin Glauer, Janna Hastings, Christian Hofmann, Carsten Hoyer‑Klick, Ludwig Hülk, Anna Kleinau, Kevin Knosala, Leander Kotzur, Patrick Kuckertz, Till Mossakowski, Christoph Muschner, Fabian Neuhaus, Michaja Pehl, Martin Robinius, Vera Sehn, and Mirjam Stappel (1 September 2021). "Introducing the Open Energy Ontology: enhancing data interpretation and interfacing in energy systems analysis". Energy and AI. 5: 100074. ISSN 2666-5468. doi:10.1016/j.egyai.2021.100074. Open access.
In particular:
- the use‑case at § 8.3 (p 11,12): data annotation of an energy meteorological time series data set
- figure 4 (below also) covers time series annotation: is the value instantaneous, averaged, or integrated? if it is a point‑in‑time reading, is the temporal alignment start, mid, or end of span? which timezone is used and if local, is daylight saving applied or not?
On re‑reading, it is not clear, to me at least, what "average" means precisely in the articulated use‑case: the arithmetic mean of the the start and end instantaneous values or a synonym for "integrated" or with some nonlinear weighting function applied or some kind of rolling average or some other kind of mean or something else? (I guess I could look on GitHub but the text needs to be clear too.)
Note that the OEO does not import a specialist parent ontology to cover weather information (as it does for financial concepts and for scientific units, for instance).
[CHK] Maybe we should get more precise. Average usually means some integration divided by the time step duration or number of samples taken within the time step. It maybe needs a more precise formulation in the ontology.
Carsten