Prior information regarding subsurface spatial patterns may be used in geophysical
inversion to obtain realistic subsurface models. Field experiments require prior information …

Multiple-point statistics (MPS) is a powerful method to generate realistic geological models.
Given a training image as a prior model, the program iteratively reproduces spatial patterns …

Direct sampling (DS) is a versatile multiple‐point statistics method for generating spatial‐
temporal geostatistical models. DS is known for being able to address a variety of training …

Assessing the contribution of geomorphic processes to the (non‐) preservation of
sedimentary deposits is necessary to account for potential bias in measured accumulation …

Process-based modeling offers a way to represent realistic geological heterogeneity in
subsurface models. The main limitation lies in conditioning such models to data. Multiple …

Geologists and geophysicists often approach the study of the Earth using different and
complementary perspectives. To simplify, geologists like to define and study objects and …

Weather data at fine spatial resolution in the Himalayan region are important for assessing
various hydrological events such as avalanches. In recent years, national agencies have …

Deltaic river networks naturally reorganize as interconnected channels move to redistribute
water, sediment, and nutrients across the delta plain. Network change is documented in …

Ocean satellites provide accurate and precise data across various scales, making them a
vital tool for investigating the association between global change and ocean processes …

The flux partitioning in delta networks controls how deltas build land and generate
stratigraphy. Here, we study flux-partitioning dynamics in a delta network using a simple …