Search Results - "Orellana-Alvear, Johanna"

Large-scale dynamics of extreme precipitation in the tropical Andes: combining weather radar observations and reanalysis data.

Authors: Córdova, Mario Orellana-Alvear, Johanna Bendix, Jörg et al.

Source: Meteorology & Atmospheric Physics. Jul2024, Vol. 136 Issue 4, p1-19. 19p.

Gross primary productivity estimation through remote sensing and machine learning techniques in the high Andean Region of Ecuador.

Authors: Urgilés, Cindy Orellana-Alvear, Johanna Crespo, Patricio et al.

Source: International Journal of Biometeorology. Mar2025, Vol. 69 Issue 3, p541-556. 16p.

Subject Terms: *Machine learning, *Standard deviations, *Climate change, *Random forest algorithms, *Carbon cycle

Geographic Terms: Andes

Determination of climatic conditions related to precipitation anomalies in the Tropical Andes by means of the random forest algorithm and novel climate indices.

Authors: Córdova, Mario Orellana‐Alvear, Johanna Rollenbeck, Rütger et al.

Source: International Journal of Climatology. Aug2022, Vol. 42 Issue 10, p5055-5072. 18p.

Enhancing runoff forecasting through the integration of satellite precipitation data and hydrological knowledge into machine learning models.

Authors: Muñoz, Paul Muñoz, David F. Orellana-Alvear, Johanna et al.

Source: Natural Hazards. Mar2025, Vol. 121 Issue 4, p3915-3937. 23p.

Precipitation forecasting using random forest over an ecuadorian andes basin.

Authors: Montenegro, Martín Célleri, Rolando Orellana-Alvear, Johanna et al.

Source: Meteorology & Atmospheric Physics. Jan2025, Vol. 137 Issue 1, p1-12. 12p.

THE DIURNAL CYCLE AND EVENT-SCALE PRECIPITATION CHARACTERISTICS IN GALÁPAGOS AT DIFFERENT ALTITUDES DURING ENSO 2022-2024.

Authors: TENELANDA, PABLO TURINI, NAZLI ORELLANA-ALVEAR, JOHANNA et al.

Source: Erdkunde. 2025, Vol. 79 Issue 1, p41-63. 23p.

Analysis of Rain Types and Their Z-R Relationships at Different Locations in the High Andes of Southern Ecuador.

Authors: Orellana-Alvear, Johanna Célleri, Rolando Rollenbeck, Rütger et al.

Source: Journal of Applied Meteorology & Climatology. Nov2017, Vol. 56 Issue 11, p3065-3080. 16p. 1 Diagram, 2 Charts, 8 Graphs, 1 Map.

The Coastal El Niño Event of 2017 in Ecuador and Peru: A Weather Radar Analysis.

Authors: Rollenbeck, Rütger Orellana-Alvear, Johanna Bendix, Jörg et al.

Source: Remote Sensing. Feb2022, Vol. 14 Issue 4, p824. 1p.

Assessment of Native Radar Reflectivity and Radar Rainfall Estimates for Discharge Forecasting in Mountain Catchments with a Random Forest Model.

Authors: Orellana-Alvear, Johanna Célleri, Rolando Rollenbeck, Rütger et al.

Source: Remote Sensing. Jun2020, Vol. 12 Issue 12, p1986. 1p.

Flood Early Warning Systems Using Machine Learning Techniques: The Case of the Tomebamba Catchment at the Southern Andes of Ecuador.

Authors: Muñoz, Paul Orellana-Alvear, Johanna Bendix, Jörg et al.

Source: Hydrology (2306-5338). Dec2021, Vol. 8 Issue 4, p183-183. 1p.

Hydrometeorological Factors Controlling the Stable Isotopic Composition of Precipitation in the Highlands of South Ecuador.

Authors: ZHIÑA, DARÍO X. MOSQUERA, GIOVANNY M. ESQUIVEL-HERNÁNDEZ, GERMAIN et al.

Source: Journal of Hydrometeorology. Jul2022, Vol. 23 Issue 7, p1059-1074. 16p.

Optimization of X-Band Radar Rainfall Retrieval in the Southern Andes of Ecuador Using a Random Forest Model.

Authors: Orellana-Alvear, Johanna Célleri, Rolando Rollenbeck, Rütger et al.

Source: Remote Sensing. Jul2019, Vol. 11 Issue 14, p1632-1632. 1p.

Tropical Andes Radar Precipitation Estimates Need High Temporal and Moderate Spatial Resolution.

Authors: Guallpa, Mario Orellana-Alvear, Johanna Bendix, Jörg

Source: Water (20734441). May2019, Vol. 11 Issue 5, p1038. 1p.

Exploring a machine learning model as radar rainfall retrieval of the highest X-band radar in the world.

Authors: Orellana-Alvear, Johanna Célleri, Rolando Rollenbeck, Rütger et al.

Source: Geophysical Research Abstracts. 2019, Vol. 21, p1-1. 1p.

Short-term Extreme Flow Forecasting in an Tropical Andean Mountain Catchment—Development of a Step-Wise Methodology Based on the Random Forest Algorithm.

Authors: Muñoz, Paul Orellana-Alvear, Johanna Willems, Patrick et al.

Source: Geophysical Research Abstracts. 2019, Vol. 21, p1-1. 1p.

Flash-Flood Forecasting in an Andean Mountain Catchment—Development of a Step-Wise Methodology Based on the Random Forest Algorithm.

Authors: Muñoz, Paul Orellana-Alvear, Johanna Willems, Patrick et al.

Source: Water (20734441). Nov2018, Vol. 10 Issue 11, p1519. 1p.

The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review.

Authors: Sokol, Zbyněk Szturc, Jan Orellana-Alvear, Johanna et al.

Source: Remote Sensing. Feb2021, Vol. 13 Issue 3, p351. 1p.

Precipitation Characteristics at Two Locations in the Tropical Andes by Means of Vertically Pointing Micro-Rain Radar Observations.

Authors: Seidel, Jochen Trachte, Katja Orellana-Alvear, Johanna et al.

Source: Remote Sensing. Dec2019, Vol. 11 Issue 24, p2985. 1p.

Modeling of land surface-atmosphere exchanges of energy and evapotranspiration for the páramo highlands of southern Ecuador.

Authors: Carrillo-Rojas, Galo Schulz, Hans Martin Orellana-Alvear, Johanna et al.

Source: Geophysical Research Abstracts. 2019, Vol. 21, p1-1. 1p.

Temporal precipitation variability in the Tropical Andes by means of vertically pointing-band radar (MRR) observations.

Authors: Seidel, Jochen Trachte, Katja Orellana-Alvear, Johanna et al.

Source: Geophysical Research Abstracts. 2019, Vol. 21, p1-1. 1p.