This is an interesting paper. I don’t think it is directly relevant to us, as they only achieve 50km^2 resolution. They are primarily focused on realtime nowcasting. But they give a good review of various satellite and other precip products that are available.

 

--Tom

 

Thomas G. Dietterich, University Distinguished Professor (Emeritus)

School of EECS, Oregon State University

US Mail: 1148 Kelley Engineering Center, Corvallis, OR 97331-5501 USA

Office: 2063 Kelley Engineering Center

Voice: 541-737-5559; FAX: 541-737-1300

https://web.engr.oregonstate.edu/~tgd/

 

From: data-science-africa@googlegroups.com <data-science-africa@googlegroups.com> On Behalf Of John Bagiliko
Sent: Thursday, March 20, 2025 4:41 AM
To: data-science-africa@googlegroups.com
Subject: Re: [DSA] RainOverAfrica.AI: nowcasting precipitation with uncertainty from geostationary imagery

 

You don't often get email from jbagiliko@aimsric.org. Learn why this is important

[This email originated from outside of OSU. Use caution with links and attachments.]

Hi All,

 

Thank you for your participation in the webinar yesterday.  Below are the resources:

·  Recording: here.

·  Slides: here (note that the slides will not be accessible after 30 days). 

Kind regards,

John Bagiliko

On Behalf AfriClimate AI Seminar Team

 

On Wed, 19 Mar 2025 at 17:26, John Bagiliko <jbagiliko@aimsric.org> wrote:

Hi All, 

 

The seminar will start in about 30 minutes. You can join with the details below:

 

Meeting ID: 871 6070 4796
Passcode: climate&ai 

 

Date and time: 19th March 2025, 16:00 GMT 

Presenter: Adrią Amell, PhD student at Chalmers University of Technology

 

See you soon!

 

John

 

 

On Sat, 15 Mar 2025 at 16:51, s remy <sekouremy@gmail.com> wrote:

Ah.. just seeing the correction.. 19th March.. sorry about that!

Sekou

 

On Sat, 15 Mar 2025, 17:48 s remy, <sekouremy@gmail.com> wrote:

Hi John, is the date correct?

 

Sekou 

 

On Fri, 14 Mar 2025, 19:11 John Bagiliko, <jbagiliko@aimsric.org> wrote:

Hi All,

You are invited to join our seminar next week to be led by Adrią Amell, a PhD student, Chalmers University of Technology.

Abstract: Geostationary satellites offer an unrivalled spatiotemporal coverage, but their measurements have often been considered only complementary for the complex problem of estimating precipitation from space. In this seminar, we will walk through Rain over Africa (RoA), a method based on a neural network and geostationary imagery that can provide not only continuous precipitation estimates over the entire African continent but also case-specific uncertainties, facilitating the detection of extreme events. We will also see how anyone can produce RoA estimates with low latency after the dissemination of satellite data, enabling resilience planning through near real-time monitoring. This nowcasting aspect of RoA is not at the expense of accuracy, since it results superior to established higher latency products.

Date: 19th January 2025
Time: 4 PM GMT
Location: Online

Register here to join us: https://forms.gle/wyhRGKZEC1DciXLj6 

See flyer attached.

 

Regards

 

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