Time series analysis comprises a set of statistical and computational methods for modeling, decomposing, and forecasting data indexed in time order, explicitly accounting for temporal dependence, nonstationarity, and serial correlation. Core approaches include autoregressive (AR), moving average (MA), and ARIMA-family models, state-space and Kalman filter methods, spectral and wavelet analysis, and modern machine learning–based sequence models. Typical objectives are identification of underlying stochastic processes, estimation of parameters, detection of structural breaks, and prediction of future values, while addressing issues such as seasonality, trends, heteroskedasticity, and autocorrelated residuals under rigorously defined probabilistic frameworks.
Global rainfall maps are built from observations collected by multiple satellites, but they have an important limitation. The satellites that provide these measurements cannot see the whole Earth at once. As a result, some ...
Earth Sciences
Oct 20, 2026
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7
Researchers at the Department of Energy's (DOE) Oak Ridge National Laboratory (ORNL) have released LandScan Mosaic, a next-generation global population distribution dataset that estimates where people are by modeling how ...
Environment
Sep 19, 2026
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175
Single-cell RNA sequencing (scRNA-seq) is a method for measuring gene expression in individual cells, allowing observation of various cellular processes, including cell differentiation, the cell cycle and stimulus response, ...
Cell & Microbiology
Sep 1, 2026
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11
For years, scientists have been using a method called "temporal autocorrelation (TAC)" to measure forest resilience using satellite data. However, scientists have not used TAC uniformly, and its use as a resilience indicator ...
Environment
Aug 24, 2026
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7
For over a century, doctors have used electrocardiograms (EKGs) to render the invisible electrical activity of the human heart visible, using the pulse to diagnose disease before it becomes fatal. Now, scientists have invented ...
Environment
Jun 8, 2026
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11
The Tenpō Famine of the 1830s was one of the worst in Japanese history, with the poor weather causing escalating rice prices as a major cause. To better understand how historical weather anomalies affected crop prices in ...
Environment
May 14, 2026
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13
On a sweltering August afternoon or in the teeth of a winter storm, New York City subway riders make a quiet calculation: Is the trip worth it? A new study published in npj Sustainable Mobility and Transport takes a detailed ...
Environment
Apr 25, 2026
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103
Earthquakes occur when the tectonic plates of the Earth's crust shift, jolting past each other in a release of built-up tension. However, other natural forces can also influence seismic activity: Hydrological dynamics, like ...
Earth Sciences
Mar 25, 2026
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43
New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records. The approach could improve ...
Earth Sciences
Mar 20, 2026
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15
Different regions of the United States are experiencing different patterns of warming climate, requiring region-specific adaptation, according to a study published in PLOS Climate by María Dolores Gadea Rivas of the University ...
Earth Sciences
Mar 4, 2026
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