Publication date: August 2024
Source: Journal of Atmospheric and Solar-Terrestrial Physics, Volume 261
Author(s): Mamadou Simina Dramé, Pape Mbagnick N'Diaye, Serigne Abdoul Aziz Niang, Ismaila Diallo, Astou Sarr, Ahmed Gueye, Demba Ndao Niang
Publication date: August 2024
Source: Journal of Atmospheric and Solar-Terrestrial Physics, Volume 261
Author(s): Arup Patari, Anirban Guha
Publication date: August 2024
Source: Journal of Atmospheric and Solar-Terrestrial Physics, Volume 261
Author(s): G. Fornari, F.C. de Meneses, R.R. Rosa, Esfhan A. Kherani, S. Domingos
Publication date: August 2024
Source: Journal of Atmospheric and Solar-Terrestrial Physics, Volume 261
Author(s): Mani Sivakandan, Dieter H.W. Peters, Günter Entzian
Publication date: August 2024
Source: Journal of Atmospheric and Solar-Terrestrial Physics, Volume 261
Author(s): Joana Madeira Krieger, Cicero Manoel dos Santos, Gustavo Bastos Lyra, José Leonaldo de Souza, Ricardo Araujo Ferreira Junior, Anthony Carlos Silva Porfirio, Guilherme Bastos Lyra, Marcel Carvalho Abreu
Publication date: Available online 10 August 2024
Source: Advances in Space Research
Author(s): Christian Bizouard, Yu-ting Cheng
Publication date: Available online 9 August 2024
Source: Advances in Space Research
Author(s): Thanapon Keokhumcheng, Prasert Kenpankho
Publication date: Available online 8 August 2024
Source: Advances in Space Research
Author(s): Sk Asraful Alam, Ramkrishna Maiti
Publication date: Available online 8 August 2024
Source: Advances in Space Research
Author(s): Fanfan Su, Jian Yang, Liangchen Hu, Fuying Zhu
The MESSy DWARF (based on MESSy v2.55.2)
Astrid Kerkweg, Timo Kirfel, Doung H. Do, Sabine Griessbach, Patrick Jöckel, and Domenico Taraborrelli
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2024-117,2024
Preprint under review for GMD (discussion: open, 0 comments)
This article introduces the MESSy DWARF. Usually, the Modular Earth Submodel System (MESSy) is linked to full dynamical models to build chemistry climate models. However, due to the modular concept of MESSy, and the newly developed DWARF component, it is now possible to create simplified models containing just one or some process descriptions. This renders very useful for technical optimisation (e.g., GPU porting) and can be used to create less complex models, e.g., a chemical box model.
FINAM – is not a model (v1.0): a new Python-based model coupling framework
Sebastian Müller, Martin Lange, Thomas Fischer, Sara König, Matthias Kelbling, Jeisson Javier Leal Rojas, and Stephan Thober
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2024-144,2024
Preprint under review for GMD (discussion: open, 1 comment)
This study presents FINAM ("FINAM Is Not A Model"), a new coupling framework written in Python to dynamically link independently developed models. Python, as the ultimate glue language, enables the use of codes from nearly any programming language like Fortran, C++, Rust, and others. FINAM is designed to simplify the integration of various models with minimal effort, as demonstrated through various examples ranging from simple to complex systems.
Evaluation of atmospheric rivers in reanalyses and climate models in a new metrics framework
Bo Dong, Paul Ullrich, Jiwoo Lee, Peter Gleckler, Kristin Chang, and Travis O'Brien
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2024-142,2024
Preprint under review for GMD (discussion: open, 0 comments)
1. A metrics package designed for easy analysis of AR characteristics and statistics is presented. 2. The tool is efficient for diagnosing systematic AR bias in climate models, and useful for evaluating new AR characteristics in model simulations. 3. In climate models, landfalling AR precipitation shows dry biases globally, and AR tracks are farther poleward (equatorward) in the north and south Atlantic (south Pacific and Indian Ocean).
Number- and size-controlled rainfall regimes in the Netherlands: physical reality or statistical mirage?
Marc Schleiss
Atmos. Meas. Tech., 17, 4789–4802, https://doi.org/10.5194/amt-17-4789-2024, 2024
Research is conducted to identify special rainfall patterns in the Netherlands using multiple types of rainfall sensors. A total of eight potentially unique events are analyzed, considering both the number and size of raindrops. However, no clear evidence supporting the existence of a special rainfall regime could be found. The results highlight the challenges in experimentally confirming well-established theoretical ideas in the field of precipitation sciences.
A new portable sampler of atmospheric methane for radiocarbon measurements
Giulia Zazzeri, Lukas Wacker, Negar Haghipour, Philip Gautchi, Thomas Laemmel, Sönke Szidat, and Heather Graven
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-123,2024
Preprint under review for AMT (discussion: open, 1 comment)
Radiocarbon (14C) is an optimal tracer of methane (CH4) emissions, as 14C measurements enable distinguishing fossil from biogenic methane. However, these measurements are particularly challenging, mainly due to technical difficulties in the sampling procedure. With this work we made the sample extraction much simpler and time efficient, providing a new technology that can be used by any research group, with the goal of expanding 14C measurements for an improved understanding of methane sources.
In June 2016, the San Gabriel Complex Fire raged through southern California. As it burned, the fire caused damage that negatively affected the surrounding area long after the flames died down. In 2019, three years after the fires had been extinguished, the effects of the disaster contributed to a series of landslides following a rainstorm.
The 2015–2016 El Niño hit the Amazon basin hard, causing a drought that severely reduced aboveground vegetation and caused the basin to release nearly 1 gigaton of carbon into the atmosphere.
Abstract
Typhoons, fueled by warm sea surface waters, heighten concern as they increasingly interact with frequent Marine Heatwaves (MHWs) in a changing climate. Typhoon Hinnamnor (2022) weakened and re-intensified as it approached the Korean Strait, interacting with an underlying MHW in the northern East China Sea (nECS). In-situ observations and reanalysis products revealed a significant increase in latent heat loss from the nECS during the MHW period, contributing to the typhoon re-intensification. Strong sea surface wind forcing with the typhoon enhanced vertical mixing and upwelling, resulting in a pronounced (0.90°C) sea surface cooling after the typhoon passage, facilitating MHW disappearance with reduced thermal stratification. During MHWs, increased background stratification increases temperature oscillations associated with semidiurnal internal tides. Furthermore, post-typhoon changes in stratification weakened semidiurnal internal tides due to unfavorable conditions for generation from a nearby source. These findings highlight the importance of continuous time-series observations to monitor interactions among climatic extremes.
Abstract
Sedimentary landforms on Earth and other planetary bodies are built through scour, transport, and deposition of sediment. Sediment connectivity refers to the hypothesis that pathways of sediment transport do not occur in isolation, but rather are mechanistically linked. In dryland river systems, one such example of sediment connectivity is the transport of fluvially deposited sediment by wind. However, predictive tools that can forecast fluvial-aeolian sediment connectivity at meaningful scales are rare. Here we develop a suite of models for quantifying the availability of river-sourced sediment for aeolian transport as a function of river flow, wind regime, and land cover across 168 km of the Colorado River in Grand Canyon, USA. We compare and validate these models using topographic changes observed over 10 years in a coupled river sandbar-aeolian dunefield setting. The models provide a path forward for directly linking fluvial hydrology with the management and understanding of aeolian landscapes.
Abstract
Deep low-frequency earthquakes (DLFE) are observed beneath volcanoes worldwide but are limited to island arc volcanoes, hotspot volcanoes, and rift zones. Here we show DLFEs in the Tengchong Volcano Field, southeast Tibet, located ∼300 km from the Indo-Burma volcanic arc, by analyzing a 12-year continuous seismic data set. The earthquakes were at a depth of ∼12 km, near the sidewall of the magma body detected by the magnetotelluric survey. The features of isotropic focal mechanism, episodic occurrence, and possible non-power-law scaling, with no detectable geodetic deformation, as well as the petrological signatures of the Holocene eruption product, suggest that the earthquakes were likely associated with the weak intermittent magma flows near the magma body. This finding may demonstrate the existence of unsteady magmatic processes in the margin of the Indo-Eurasia collision zone, which could indicate unneglectable volcanic hazards, underestimated geothermal resources, and mineralization processes in similar regions.
Invited perspectives: Fostering interoperability of data, models, communication and governance for disaster resilience through transdisciplinary knowledge co-production
Kai Schröter, Pia-Johanna Schweizer, Benedikt Gräler, Lydia Cumiskey, Sukaina Bharwani, Janne Parviainen, Chahan Kropf, Viktor Wattin Hakansson, Martin Drews, Tracy Irvine, Clarissa Dondi, Heiko Apel, Jana Löhrlein, Stefan Hochrainer-Stigler, Stefano Bagli, Levente Huszti, Christopher Genillard, Silvia Unguendoli, and Max Steinhausen
Nat. Hazards Earth Syst. Sci. Discuss., https//doi.org/10.5194/nhess-2024-135,2024
Preprint under review for NHESS (discussion: open, 0 comments)
With the increasing negative impacts of extreme weather events globally, it's crucial to align efforts to manage disasters with measures to adapt to climate change. We identify challenges in systems and organizations working together. We suggest that collaboration across various fields is essential and propose an approach to improve collaboration, including a framework for better stakeholder engagement and an open-source data system that helps gather and connect important information.
