Rain and cloud Organization in the Trades using ObseRvations and models

ROTOЯ aims to enhance understanding of shallow trade cumulus clouds' response to climate change by analyzing rain evaporation and cold pools through innovative observations and simulations.

Subsidie
€ 1.499.768
2024

Projectdetails

Introduction

Our climate fundamentally depends on the abundance and behaviour of its smallest clouds: shallow trade cumulus clouds. Their response to climate change is a major uncertainty in climate projections, with the most pressing but least understood question being: What is the role of mesoscale convective organization in trade cumulus feedbacks?

Rain and Convective Organization

Rain affects convective organization through its re-evaporation, which triggers downdrafts and cold pools. Cold pools can create large ‘cloud holes’ surrounded by cloud arcs. However, how the size and lifetime of cold pools link to the initial rain evaporation and downdrafts, and how they influence cloud cover and thus the radiative budget is unclear.

Knowledge Gaps

Critical reasons for these knowledge gaps are:

  • A lack of rain process observations
  • The fascinating range of scales involved

Project Overview

ROTOЯ is driven by the opportunity for ground-breaking advances in observing, simulating, and understanding organized precipitating shallow convection to elucidate the role of rain and cold pools for climate. My goal is to answer three questions:

  1. What is the impact of evaporation, downdrafts, and cold pools on the trade-wind layer equilibrium state?
  2. Under what conditions do cold pools organize or disorganize shallow convection?
  3. Do cold pools increase or decrease total cloud cover in the trades?

Methodology

To answer these questions, I will create a unique multi-year dataset of rain evaporation, downdrafts, and cold pools by applying new remote sensing retrieval techniques to existing trade cumulus observations.

Expected Outcomes

Combined with cutting-edge numerical simulations using super-droplet microphysics, the project promises to fundamentally improve our understanding of how organized shallow clouds may change with warming and the implications this has for the hydrological cycle.

Personal Motivation

ROTOЯ is a unique opportunity for me to focus my broad expertise in observing and modeling clouds to answer three critical questions of tropical meteorology and climate science.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.499.768
Totale projectbegroting€ 1.499.768

Tijdlijn

Startdatum1-7-2024
Einddatum30-6-2029
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • UNIVERSITY OF HAMBURGpenvoerder

Land(en)

Germany

Vergelijkbare projecten binnen European Research Council

ERC Advanced...

Mesoscale organisation of tropical convection

MAESTRO aims to develop observational methods to understand mesoscale convection's impact on climate and improve climate models through advanced airborne remote sensing and analysis frameworks.

€ 2.994.634
ERC Starting...

Revisiting Rainfall Extremes with Ensembles of Convective Objects aNd their Continuum of Interactions with the Large-scale Environment

RECONCILE aims to enhance climate models by analyzing storm populations' dynamics, bridging scales to reduce uncertainties in extreme precipitation projections linked to climate change.

€ 1.322.000
ERC Consolid...

Unraveling the impact of turbulence in Mixed-phase Clouds

The MixClouds project aims to analyze the impact of turbulence on mixed-phase clouds' microphysics using theoretical and numerical tools to enhance understanding and modeling of atmospheric processes.

€ 1.998.531
ERC Advanced...

Drivers and origins of high-altitude precipitation on the Third Pole

DROP aims to enhance understanding of high-altitude precipitation in Asia's mountain ranges through field observations and atmospheric modeling, improving water security and disaster risk management.

€ 2.500.000
ERC Starting...

Extratropical-Tropical interAction: A unified view on the extratropical impact on the subtropics and tropics at weather timescales

This project aims to quantify and understand how extratropical dynamics influence tropical weather patterns, enhancing forecasting accuracy and climate projections through innovative modeling and observational studies.

€ 1.687.470