PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
August 25, 2025Open Access

Signal processing to denoise and retrieve water vapor from multi-pulse-length lidar data

View Full Paper
Ask AI
Bookmark
Share

Authors

MHMatthew HaymanRSRobert A. StillwellAKAdam Karboski

Discussion

Loading...

Member takes

Overview

Signal processing improves water vapor retrieval from lidar data, enhancing accuracy in measuring humidity and structure.

Key Points

  • Enhanced signal processing techniques increase data availability and resolution for capturing water vapor across a broader altitude range.
  • Using Poisson Total Variation, this approach merges short and long pulse data, yielding better humidity retrievals from 100 m to 6 km.
  • Intercomparison with radiosondes shows improved retrievals of absolute humidity, indicating the effectiveness of this new lidar approach.
  • The findings underscore the value of high-vertical-resolution observations for accurate atmospheric water vapor profiling.

Cite This Study

Hayman et al. (2025) studied this question.

synapsesocial.com/papers/68af5f19ad7bf08b1eae2229https://doi.org/10.5194/egusphere-2025-3523
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Signal processing to denoise and retrieve water vapor from multi-pulse-length lidar data2026 · 1 citations
  2. 2Simultaneous Measurement of Water Vapor, Temperature and Aerosol Backscatter with Diode-Laser-Based Lidar2026
  3. 3Global Estimation of Range Resolved Thermodynamic Profiles from MicroPulse Differential Absorption Lidar2024
  4. 4Global estimation of range resolved thermodynamic profiles from micropulse differential absorption lidar2024 · 9 citations
  5. 5Sensitivity analysis of space-based water vapor differential absorption lidar at 823 nm2024 · 1 citations