Jenna Ritvanen

Our article on a new model called L-CNN for nowcasting convective rainfall is now out in IEEE J-STARS! This is the first article in my PhD project related to rainfall nowcasting with dual-pol radar data & machine learning @FMIspace doi.org/10.1109/JSTARS…

Final day of the radar summer school. An incredible group of students and mentors. The "drizzle" project won the competition. Many thanks to the remote participants. I hope we will have the chance to do this again in 2 years @armnewsteam @NSF @BrookhavenLab @SoMAS @stonybrooku

Esimerkiksi näin parannetaan sään ennustamista tutkimuksen keinoin: tutkijat kehittivät koneoppimiseen perustuvan mallin, joka soveltuu erityisesti voimakkaan ja nopeasti kehittyvän kuurosateen ennustamiseen. 🌧️ #Tutkimus #Sää #Sade #Koneoppiminen ilmatieteenlaitos.fi/uutinen/7IDTUv…

In addition to the open-access article, the code for the model is also openly available at Github: github.com/fmidev/lagrang…

As a conclusion, limiting the CNN only to nowcasting only the growth and decay of rainfall improves forecasts!

Our article on a new model called L-CNN for nowcasting convective rainfall is now out in IEEE J-STARS! This is the first article in my PhD project related to rainfall nowcasting with dual-pol radar data & machine learning @FMIspace doi.org/10.1109/JSTARS…

This approach retains high rain rate values better than the original CNN model which improves nowcasting skill especially at higher rain rate thresholds. At small scales the L-CNN is even slightly better than the LINDA model (doi.org/10.1175/JTECH-…)

@ScottGiangrande We didn't measure spectra, but you could definitely filter insects/birds with Doppler velocity variance and polarimetric variables, like here doi.org/10.1175/JTECH-…

@ScottGiangrande For these measurements, insects actually were quite passive tracers, there was no big bias in clear air for radar. Maybe because they're small enough?

My 1st first-author paper is now out in Atmospheric Measurement Techniques! We look at how well lidar & radar measure wind in different weather conditions using co-located measurements from Finland @FMIspace @VaisalaSuomi @HelsinkiRadar doi.org/10.5194/amt-15…

Overall, if you need wind measurements in all weather conditions, combining measurements from both instruments should increase measurement performance significantly!

In our measurements, unsurprisingly: lidar does well in clear air, radar in rain. But also 1⃣ Lidar performance starts decreasing when air is too clear 2⃣ Radar can also measure in clear air if insects are present, just make sure 🦟 don't cause a bias in wind measurements

Our new paper where investigate the BL height and stability in Hyytiälä, southern Finland using radiosondes, a microwave radiometer and ERA5 reanalysis is now accepted: amt.copernicus.org/articles/15/30… @INAR_fin @HelsinkiRadar (1/4)

Give our latest release a try!! 😁 Highlights: 🗄️ Improved IO functionality (@ritvje) 📡 Support for reading in RXM-25 files (@tornatrix) 🪓 Radar image splitting functionality (@lauratomkinsWX) 📊 Various plotting bug fixes 📜 Updated references + docs github.com/ARM-DOE/pyart/…

Our paper is now available for discussions in AMTD - go and check it out and let us know what you think! Boundary-layer height and surface stability at SMEAR II, Hyytiälä, Finland in ERA5 and observations amt.copernicus.org/preprints/amt-… @INAR_fin @KumpulaScience @CostProbe

Joskus on rankkaa olla norppa. Tällä kertaa västäräkki häiritsee Pullervon unia #norppalive #luontolive

@Uusimaa_Partio delegaatiomme uuteen strategiaan jättämämme muutosehdotus tai ponsi eivät menneet läpi. Asiasta käytiin kuitenkin arvokasta keskustelua joka varmasti vie järjestöä ja partiota eteenpäin! Kiitos osallistujille #jäsenmöte #partioscout

Jokaisella partiolaisella ja lippukunnalla pitää olla mahdollisuus resursseista riippumatta osallistua #ilmastonmuutos torjuntaan partiossa #partioscout #jäsenmöte