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Extraction of critical hydrologic features from high-resolution topographic data is challenging using existing grid coarsening approaches, such as surface flow path, river network…

Low marine clouds are a major source of uncertainty in cloud feedbacks across climate models and in forcing by aerosol-cloud interactions. The evolution of these clouds and their …

Sustainable river management can be supported by models predicting long-term morphological developments. Even for one-dimensional morphological models, run times can be up to seve…

We present a multi-satellite constrained water budget approach that combines SWOT Ka-radar altimeter and ICESat-2 ATL13 photon counting lidar measurements. The work presented here…

More than one hundred hydroelectric dams operate in subarctic regions where rivers would naturally freeze each winter. By releasing relatively warm reservoir water into extremely …

Substantial fine particulate matter (PM 2.5 ) in Japan is attributable to long-range transport. While meteorological conditions and foreign emissions are known to influence air qu…

Induced earthquake occurrence is governed by three key processes: fluid pressurisation, hydraulic diffusion, and frictional nucleation, each characterised by a distinct timescale.…

Rainfed smallholder agricultural systems are the predominant maize farming systems in Sub-Saharan Africa (SSA) and are highly vulnerable to climate variability, which threatens th…

Before dawn on the dustiest regions of Mars, surfaces measured at or below ∼ 148 K are common. Thermodynamics principles indicate that these terrains must be associated with the p…

The growing deployment of surface observational networks (so-called Mesonets) has the potential to transform many sectors, such as agriculture, water resource management, renewabl…

A low-cost Can-Sat flight was conducted over Bengaluru (lat 13.0748°N, long 77.3670°E) to record temperature (T), relative humidity (RH), and pressure (P) profiles in the lowest f…

Mars’ asymmetric figure—with two opposing equatorial elevations—stemmed from a frozen tidal bulge raised by a primordial synchronous moon Nerio. Nerio’s emergence, through in situ…

Machine Learning and Remote sensing method to determine the relationship between Climate and Groundwater Recharge. Adya Aiswarya Dash1, Abhijit Mukherjee1,2,3. 1Department of Geol…

While the service industry is generally considered a low-carbon sector, it contributes significantly to global carbon emissions. However, such emissions have typically relied on p…

We present SWUS-crust, a three-dimensional shear-wave velocity model of crustal structure in the western U.S. We use Rayleigh wave amplification measurements in the period range o…

Mesoscale eddies are abundant in the global oceans and known to affect marine biogeochemistry. Understanding their cumulative impact on the air-sea carbon dioxide (CO 2 ) flux is …

Seeger and Minderhoud (2026) recently published a paper on an isolated geodetic aspect of coastal flood hazards modelling frameworks. While coastal modelling frameworks have impro…

Mountain landscapes have dynamic climates that, together with tectonic processes, influence their topographic evolution. While spatio-temporal changes in rainfall are ubiquitous i…

High spatial resolution satellite instruments operated by GHGSat estimate methane (CH4) emissions from relatively large point and area sources. The objective of this study is to a…

The increasing generation of refinery oily sludge (ROS) poses significant environmental challenges due to its high content of hazardous heavy metals, requiring effective stabiliza…

Protocols for rejuvenation of large to moderately-sized rivers using remote sensing data is well established in different parts of the world. With the advent of commercially viabl…

Oceanic melting of Antarctic ice shelves plays a key role in glacial mass balance and future ice sheet retreat. Yet efforts to project future changes in melt are hindered by limit…

Spinning up fully coupled Earth system models is essential for establishing stable and physically consistent initial conditions, yet it remains one of the most computationally dem…

The unprecedented 2021–2022 drought in Europe has caused significant interannual declines in terrestrial water storage (TWS) across the Alps. However, hydrological modeling in mou…

We present a comprehensive multifrequency analysis of primordial gravitational wave backgrounds generated during cosmic inflation, combining observational constraints from Planck/…

Natural resource cycles operate under both physical constraints and socio-economic drivers. To represent these coupled dynamics, a mineral commodity model is developed by integrat…

Ocean models can represent surface circulation at kilometer scales, but their computational cost limits broad experimentation. We present DeepCUN, a deep convolutional encoderdeco…

Spacecraft are particularly vulnerable to space weather events; solar energetic particles (SEPs) discharge large amounts of energy to spacecraft electronics, degrading system perf…

Cowpea (<i>Vigna unguiculata</i> [L.] Walp.) is a climate-resilient crop tolerant to heat and drought, but its improvement is constrained by the lack of scalable, field-based phen…