Results 71 to 80 of about 2,145 (185)

Utilizing NASA's Operation IceBridge Airborne SWE and Precipitation Products to Assess Surface Snow Over Alaskan Glaciers

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Accurately estimating Snow Water Equivalent (SWE) in glacierized regions is critical for glacier modeling and mass balance analysis yet remains challenging due to sparse observations and uncertainties in precipitation products. The objectives are twofold: (a) assess how well three widely used precipitation datasets—Stage IV (a radar–gauge ...
Yang Song, Ali Behrangi
wiley   +1 more source

Comparing Monte Carlo Models of Impact Alteration of Planetary Atmospheres

Journal of Geophysical Research: Planets, Volume 131, Issue 8, August 2026.
Abstract One process that affects atmospheric surface pressure is impact bombardment. The evolution of a planet's atmosphere under impact bombardment is an open question. We use a Monte Carlo method to evolve a range (0.006–92.5 bar) of initial atmospheres at Mars, Earth, and Venus under bombardment of 5×106 $5\times 1{0}^{6}$ impactors using seven ...
M. R. Huffman, D. A. Brain, K. N. Singer, J. C. Johnston, C. A. Caldwell   +4 more
wiley   +1 more source

Exploring Text Data Compression: A Comparative Study of Adaptive Huffman and LZW Approaches [PDF]

BIO Web of Conferences
Data compression is a critical procedure in computer science that aims to minimize the size of data files while maintaining their vital information.
Kadhim Doaa J., Mosleh Mahmood F., Abed Faeza A.   +2 more
doaj   +1 more source

MAUSAM: An Observations‐Focused Assessment of Global AI Weather Prediction Models During the South Asian Monsoon

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based prediction systems—FourCastNet,
Aman Gupta, Aditi Sheshadri, Dhruv Suri
wiley   +1 more source

HUFFMAN CODING AS A NONLINEAR DYNAMICAL SYSTEM [PDF]

International Journal of Bifurcation and Chaos, 2011
In this paper, source coding or data compression is viewed as a measurement problem. Given a measurement device with fewer states than the observable of a stochastic source, how can one capture their essential information? We propose modeling stochastic sources as piecewise-linear discrete chaotic dynamical systems known as Generalized Luröth Series ...
openaire   +2 more sources

Hot Droughts Increase the Likelihood and Impacts of Abrupt Drought‐to‐Pluvial Transitions Worldwide

Earth's Future, Volume 14, Issue 8, August 2026.
Abstract Hot droughts are intensifying under anthropogenic warming, yet whether extreme heat systematically alters the triggering of abrupt drought‐to‐pluvial transitions and their downstream impacts remains poorly understood. Here, we identify global drought‐to‐pluvial abrupt transition (DPAT) events and isolate the influence of antecedent thermal ...
Yinghao Fu, Haishen Lü, Xiaosheng Qin, Yonghua Zhu, Tingxing Chen, Jiaying Liu, Yingying Xu   +6 more
wiley   +1 more source

Short‐Term Hourly Weather Forecasting Using PredRNN With Image Preprocessing

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Global weather forecast models are vital tools with numerous applications, including public safety, agriculture, and transportation. Recent advancements in artificial intelligence (AI) and deep learning (DL) have shown the potential to enhance weather forecasting accuracy and speed.
Hoang Tran, Hao Li, Vinh Ngoc Tran, Tam V. Nguyen, Manh‐Hung Le, Thanh Duc Dang, Hong Xuan Do, Hung T. Pham, Tan Bui‐Thanh, L. Ruby Leung   +9 more
wiley   +1 more source

Bidirectional Huffman Coding [PDF]

The Computer Journal, 1990
Aviezri S. Fraenkel, Shmuel T. Klein
openaire   +1 more source

Gender Differences in Performance and Development Potential and Resulting Impacts on Promotions

International Journal of Selection and Assessment, Volume 34, Issue 3, August 2026.
ABSTRACT Performance appraisals (PAs) are widely used to assess employees' performance and development potential, influencing decisions about work allocation, compensation, promotion, and employee termination. Because PAs are so influential, any differences in evaluations between demographic groups—such as between men and women—are incredibly important,
Tobias L. Kordsmeyer, Sarah K. Godehardt, Julia Roß, Sophie L. A. Lanzoni, Andrew B. Speer   +4 more
wiley   +1 more source

Mesonet‐Based Ground Validation of IMERG‐V07 and GSMaP‐V08 Over a Semi‐Arid Dryland Ecosystem in West Texas

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 14, 28 July 2026.
Abstract Climate change has caused highly uncertain precipitation regimes and associated hydrometeorological hazards over global drylands. Accurate precipitation measurements are vital for monitoring dryland ecohydrology. Satellite precipitation products (SPPs), including the Integrated Multi‐satellitE Retrievals for GPM (Global Precipitation ...
Diya Das, Sandip Pal, Eric C. Bruning, Brian Hirth   +3 more
wiley   +1 more source