Evaluation of KDP Estimation Algorithm Performance in Rain Using a Known-Truth Framework

Reimel, Karly J.; Kumjian, Matthew

Home/Archive/DOE OSTI

DOE OSTI · 1770757

Evaluation of KDP Estimation Algorithm Performance in Rain Using a Known-Truth Framework

Reimel, Karly J.·Kumjian, Matthew

View original source ↗Export metadata ↓

Abstract

The source did not provide an abstract. Follow the original record for more information.

Explore related subjects

54 ENVIRONMENTAL SCIENCES

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Reimel, Karly J., Kumjian, Matthew. 2021-03-01. Evaluation of KDP Estimation Algorithm Performance in Rain Using a Known-Truth Framework. https://www.osti.gov/biblio/1770757

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

DOE OSTI2026

Water4Energy Step-1 Band-M Ready-to-Train Samples for TVA Weeks-to-Years Prediction, Version 0

AI-ready Band-M (monthly) labelled training pack for the Water4Energy Genesis Task-1 project on weeks-to-years prediction of Tennessee Valley temperature and precipitation. The deposit includes leakage-aware issue-time samples (samples_M_v0.nc; N=486), train-only scalers, issue-time split table, supporting monthly panels, and Python generation scripts to recreate the pack from the companion Tier-1 raw observation collection (https://doi.org/10.13139/ORNLNCCS/3398576). Each sample pairs a 12-month lookback of teleconnection indices and SST box anomalies with TVA-mean ERA5 anomaly targets (t2m, tp, msl) at leads 1–3 months.

54 ENVIRONMENTAL SCIENCES↗

DOE OSTI2026

Multi-Angle Snowflake Camera, particle analysis

The c1 level data product for the Mutli-Angle Snowflake Camera contains snowflake fall speeds and particle size, among other analysis for images associated with each hydrometeor.

54 ENVIRONMENTAL SCIENCES↗

DOE OSTI2026

Multi-Angle Snowflake Camera, time bins

The c1 level data product for the Mutli-Angle Snowflake Camera contains snowflake fall speeds and particle size, among other analysis for images associated with each hydrometeor.

54 ENVIRONMENTAL SCIENCES↗