davidsuculum, to climate
@davidsuculum@mathstodon.xyz avatar

This could be a nice set of resources for using Python in #climate, #climatology and #meteorology.

I link a tutorial for extreme values. It doesn't include "peak over threshold" analysis, but you have pyextremes for that (and R).

Tutorial 4: Return Levels Using Normal and GEV Distributions — Climatematch Academy: Computational Tools for Climate Science
https://comptools.climatematch.io/tutorials/W2D4_ClimateResponse-Extremes%26Variability/student/W2D4_Tutorial4.html

GregCocks, to worldwithoutus
@GregCocks@techhub.social avatar

How Melting Arctic Ice Leads To European Drought And Heatwaves

https://insideclimatenews.org/news/01032024/links-between-melting-arctic-ice-and-summertime-extreme-weather-in-europe/ <-- shared technical article

https://doi.org/10.5194/wcd-5-109-2024 <-- shared paper

maps - The Combined Drought Indicator—used to identify areas affected by agricultural drought, and areas with the potential to be affected—estimated for the first 10 days of each month from April to September 2022. Credit: European Commission, Joint Research Centre
photo - The Wamme river is seen at a low level during the European heatwave on Aug 10, 2022 in Rochefort, Belgium
maps - Climatological mean (a) SST, (d) meridional winds at 700 hPa, (g) 2 m air temperature, and (j) precipitation minus evaporation in summer (May through to August). Regressions of (b, c) the SST (colour shading) and 700 hPa winds (arrows), (e, f) the meridional winds at 700 hPa, (h, i) the 2 m air temperature, and (k, l) the accumulated precipitation minus evaporation on FE in (b, e, g, k) the first and (c, f, h, l) the second summer (May through to August) after the freshwater anomalies (indicated by the “+1” and “+2” in the titles). We removed large-scale trends from the air temperature to reduce the direct warming effect of greenhouse gases (Sect. 2), and we excluded the anomaly in 2016 since it exhibited a different spatial SST distribution from the other anomalies (Fig. A1). Thick contours encompass regions that are significant at the 95 % confidence level, and the red and blue dotted lines in (b) and (c) delineate the regions in which the SST anomalies exceed 2 ∘C and fall below −2 ∘C.

GregCocks, to 3dmodeling
@GregCocks@techhub.social avatar

Future Changes In Global Atmospheric Rivers Projected By CMIP6 Models

https://doi.org/10.1029/2023JD039359 <-- shared paper

maps and charts - (a) Atmospheric river (AR) characteristics, including duration, interval, area, and intensity during the DJF globally. The central plot displays the increase in AR frequency between the far-future (SSP585; 2070–2099) and the historical (1980–2009) periods, with the climatological AR frequency in the historical period represented by the contours. Black dots indicate unanimous frequency changes among CMIP6 models. The red rectangles are the boundaries of the target regions and the black hatches are the selected land regions. The surrounding plots show 2D Kernel Density Estimation (KDE) maps for AR characteristics over the historical period and far-future under different scenarios displayed in the bottom right corner for eight regions. The univariate distributions of the characteristics are shown on the outer axes of each subplot. (b) The comparison of the KDE maps for three selected regions with ARs detected with GuanWaliser_v2 and Mundhenk_v3 AR detection tools (ARDTs). Note that only the SSP585 scenario is available for the far-future period in these two data sets. The legend is the same as in Panel (a). Note that the figures of PanLu ARDT are presented based on daily scale data sets, while the figures of GuanWaliser_v2 and Mundhenk_v3 ARDTs are presented on 6-hourly scale data sets due to data accessibility.
graphic - what is the science behind atmospheric rivers
maps and charts - Projected increase in panel (a) atmospheric river (AR) frequency and (b) AR-induced precipitation for DJF and JJA in Northern Hemisphere and Southern Hemisphere under the SSP585 scenarios. The shading represents the differences between the far-future (2070–2099) and historical (1980–2009) periods, with contours delineating the historical climatology. ARs detected with the PanLu, GuanWaliser_v2 and Mundhenk_v3 method are all shown. Note that the figures of PanLu ARDT are presented based on daily scale data sets, while the figures of GuanWaliser_v2 and Mundhenk_v3 ARDTs are presented on 6-hourly scale data sets due to data accessibility.

ScienceCommunicator, to climate
@ScienceCommunicator@mastodon.social avatar

Animation of annual mean near-surface temperature anomalies in the Arctic for each year from 1950 to 2023. Data is from ERA5. Anomalies are calculated relative to a 1951 to 1980 climate baseline. Graphic was updated on "1/11/2024".

https://zacklabe.files.wordpress.com/2024/01/annual_1950-2023.gif

@ZLabe I assume that was either 1/11/2023 or 11/01/2024?

malte, to climate
@malte@graeber.social avatar

What's a good and up-to-date book on the state of climate change prognosis? I can read scientific texts, but am not a climatologist. I'm looking for something like Mark Lynas' Six Degrees (from 2007) if there's something more recent. The dry, hard facts presented in a cohesive way.

ScienceCommunicator, to science
@ScienceCommunicator@mastodon.social avatar

Climate is what you expect; weather is what you get.

#science #meteorology #weather
#climate #seasons #ClimateChange #climatology #physics

Snowshadow, to climate
@Snowshadow@mastodon.social avatar

Satellite mapping of red snow on North American glaciers

Red snow caused by blooms of microalgae darkens the surface of summer snowfields, increasing snowmelt

https://www.science.org/doi/10.1126/sciadv.adi3268

vrtxd, to android

Air Log Scale – Exploring an alternative #TreeMap inspired #Visualization of air particles with #LogScale. It's not nothing! #HandDrawn with #dotpict for #Android. #FeedbackWelcome!

License: #CCBY (#CreativeCommons Attribution 4.0 International) vrtxd, Thu 5 Oct 2023. https://dotpict.net/works/5098955

#PixelArt #Hobby #AtmosphericScience #EarthScience #Climatology #ClimateChange #AirQuality #Pollution #GreenhouseGas #CarbonDioxide #Methane #Chemistry #EnvironmentalEducation #Sustainability #LibreCulture

readbeanicecream, to science
readbeanicecream avatar

The fastest-evolving moss in the world may not adapt to climate change: The hardy genus Takakia has survived 400 million years but is losing ground in the Himalayas
https://www.sciencenews.org/article/fastest-evolving-moss-adapt-climate-change

breadlessnorseman, to Software

Hi! I'm a Boston based with a BS in . I primarily work in but have been loving / .

As an ex-conservative christian, I've been trying to get more involved in and the fight against .

I love , (particularly / ), , , and multitudes of other things.

My toots and boosts will probably be all over the place so follow me if you want to come along for the ride!

Other tags of interest:

stefan, to ai
@stefan@stefanbohacek.online avatar

So I tried Google's new AI powered search experiment that supposedly gives you code snippets in response to programming related questions.

https://labs.withgoogle.com/sge

The answer was at best incomplete, but all in all unusable. I don't think we're on the right path here.

empiricism,

@stefan

That's why I have intentionally avoided using AI chatbots. I prefer the old-school way of reading the science papers myself.

Of course, if AI referenced the general scientific consensus that would be useful. For example, sampled all the scientific papers tagged with and reported the general conclusions.

itnewsbot, to science
@itnewsbot@schleuss.online avatar

All the ways the most common bit of climate misinformation is wrong - Enlarge / Is it natural, or is it us? (It's us.) (credit: Andriy Onufri... - https://arstechnica.com/?p=1917068

  • All
  • Subscribed
  • Moderated
  • Favorites
  • •
  • megavids
  • thenastyranch
  • magazineikmin
  • osvaldo12
  • GTA5RPClips
  • mdbf
  • Youngstown
  • tacticalgear
  • slotface
  • rosin
  • kavyap
  • ethstaker
  • everett
  • khanakhh
  • JUstTest
  • DreamBathrooms
  • InstantRegret
  • cubers
  • normalnudes
  • Leos
  • ngwrru68w68
  • cisconetworking
  • modclub
  • Durango
  • provamag3
  • anitta
  • tester
  • lostlight
  • All magazines
    •