91–100 of 117 posts
Cool! This reminds me a bit of weatherspark, which used to have a fantastic tool for visualizing long term trends. What were the 10th/50th/90th percentile temps for a given day over the last 30 years, etc. I wonder if the data sets here could be used to build something similar.
Everyone misses weatherspark. It's been a year since they went down and there's still no replacement for their historical weather viewer. I know they decided to stop because their flash based API for the radar map was depreciated but even just the historical and predicted line plots of weather data I'd pay money for. Ventusky is no weatherspark replacement and I don't think the models they're drawing their data from…
This is a great visualization of free data, although not the first in this style, but it's usefulness in actual forecasting or nowcasting is rather limited. Interpolation between sparse grid points can result in missing fine details, like the subtle boundaries that kick off the most violent storms in the central Plains. Limiting to just GFS and GEM make sense from a proof of concept level, however these are long rang…
Will GOES-16 improve the existing models? Or is the plan to create new models? I'm really curious to know how the higher resolution images will be used.
IMO (as an amateur) the bigger impact is for convective meteorologists that are continually watching satellite imagery and the work that places like CIMSS are doing in analyzing satellite imagery and detecting patterns indicative of severe weather. These detection algorithms will have a higher degree of confidence and can be triggered several minutes earlier now - possibly providing earlier warning for tornadoes.
CIMSS proving ground: https://cimss.ssec.wisc.edu/goes_r/proving-ground/SPC/SPC.ht...
This is a great visualization of free data, although not the first in this style, but it's usefulness in actual forecasting or nowcasting is rather limited. Interpolation between sparse grid points can result in missing fine details, like the subtle boundaries that kick off the most violent storms in the central Plains. Limiting to just GFS and GEM make sense from a proof of concept level, however these are long rang…
Will GOES-16 improve the existing models? Or is the plan to create new models? I'm really curious to know how the higher resolution images will be used.
This is a great visualization of free data, although not the first in this style, but it's usefulness in actual forecasting or nowcasting is rather limited. Interpolation between sparse grid points can result in missing fine details, like the subtle boundaries that kick off the most violent storms in the central Plains. Limiting to just GFS and GEM make sense from a proof of concept level, however these are long rang…
Will GOES-16 improve the existing models? Or is the plan to create new models? I'm really curious to know how the higher resolution images will be used.
Earlier quoted context omitted.
Can you explain the significance of that
ECMWF has been producing the best global forecasts in the world for many years. This will end in few years, but at the moment IFS, the model used at ECMWF, is the best in the world.
Very nice, although default of Fahrenheit, really? The date format is ISO rather than US by default. Maybe a master switch [US|Countries in the 21st Century] 8-)
Earlier quoted context omitted.
My default was celsius. Firefox, language de
Connected from Ireland, Firefox in English, default was °F Possibly the locale detection is limited/imperfect, with °F as a fallback.
This is a great visualization of free data, although not the first in this style, but it's usefulness in actual forecasting or nowcasting is rather limited. Interpolation between sparse grid points can result in missing fine details, like the subtle boundaries that kick off the most violent storms in the central Plains. Limiting to just GFS and GEM make sense from a proof of concept level, however these are long rang…
Windytv ( http://windytv.com ) provides ECMWF 9km global model, NAM 4km for CONUS, NEMS 4km for Europe and also GFS. Info about data sources used at Windytv https://community.windytv.com/topic/12/what-source-of-weathe... Windytv created new version where you can see fine details for many different overlays.