44 citations as recorded by crossref.

1. Predicting Forest Microclimate in Heterogeneous Landscapes T. Vanwalleghem & R. Meentemeyer https://doi.org/10.1007/s10021-009-9281-1
2. Modulation of ice ages via precession and dust-albedo feedbacks R. Ellis & M. Palmer https://doi.org/10.1016/j.gsf.2016.04.004
3. Near-surface air temperature lapse rate in a humid mountainous terrain on the southern slopes of the eastern Himalayas D. Kattel et al. https://doi.org/10.1007/s00704-017-2153-2
4. A new approach for modeling near surface temperature lapse rate based on normalized land surface temperature data M. Firozjaei et al. https://doi.org/10.1016/j.rse.2020.111746
5. Temperature lapse rate in complex mountain terrain on the southern slope of the central Himalayas D. Kattel et al. https://doi.org/10.1007/s00704-012-0816-6
6. Identification of homogeneous regions of near surface air temperature lapse rates across India R. Ojha https://doi.org/10.1002/joc.6073
7. A newly developed South American Mapping of Temperature with estimated lapse rate corrections J. Rozante et al. https://doi.org/10.1002/joc.7356
8. Downscaling MODIS-derived maps using GIS and boosted regression trees: The case of frost occurrence over the arid Andean highlands of Bolivia R. Pouteau et al. https://doi.org/10.1016/j.rse.2010.08.011
9. Maximum and minimum air temperature lapse rates in the Andean region of Ecuador and Peru F. Navarro‐Serrano et al. https://doi.org/10.1002/joc.6574
10. Topographic and climatic influence on seasonal snow cover: Implications for the hydrology of ungauged Himalayan basins, India A. Misra et al. https://doi.org/10.1016/j.jhydrol.2020.124716
11. Surface Air Temperature Fluctuations and Lapse Rates on Olivares Gamma Glacier, Rio Olivares Basin, Central Chile, from a Novel Meteorological Sensor Network E. Hanna et al. https://doi.org/10.1155/2017/6581537
12. Spatial‐temporal variation of near‐surface temperature lapse rates over the Tianshan Mountains, central Asia Y. Shen et al. https://doi.org/10.1002/2016JD025711
13. Climate change with elevation and its potential impact on water resources in the Tianshan Mountains, Central Asia H. Deng et al. https://doi.org/10.1016/j.gloplacha.2015.09.015
14. Mass balance of Nehnar glacier from 2000 to 2020, using temperature indexed-IAAR approach W. Bhat et al. https://doi.org/10.1007/s11356-023-29714-z
15. Temperature Gradient Dynamics Across Deltaic Region, Bangladesh D. Kattel et al. https://doi.org/10.1007/s13143-025-00405-8
16. Analysis of Near-Surface Temperature Lapse Rates in Mountain Ecosystems of Northern Mexico Using Landsat-8 Satellite Images and ECOSTRESS M. Rosas-Chavoya et al. https://doi.org/10.3390/rs14010162
17. Improving Snow‐Process Modeling by Evaluating Reanalysis Vertical Temperature Profiles Using a Distributed Hydrological Model A. Moiz et al. https://doi.org/10.1029/2021JD036174
18. Downscaling of American National Aeronautics and Space Administration (NASA) daily air temperature in Sicily, Italy, and effects on crop reference evapotranspiration A. Negm et al. https://doi.org/10.1016/j.agwat.2018.07.016
19. Seasonal and Synoptic Variations in Near-Surface Air Temperature Lapse Rates in a Mountainous Basin T. Blandford et al. https://doi.org/10.1175/2007JAMC1565.1
20. Near-surface air temperature lapse rates in Xinjiang, northwestern China M. Du et al. https://doi.org/10.1007/s00704-017-2040-x
21. The interaction of drought and habitat explain space–time patterns of establishment in saguaro (Carnegiea gigantea) D. Winkler et al. https://doi.org/10.1002/ecy.2124
22. Assessing seasonal variation of near surface air temperature lapse rate across India R. Ojha https://doi.org/10.1002/joc.4926
23. Slope Environmental Lapse Rate (SELR) of Temperature in the Monsoon Regime of the Western Himalaya R. Thayyen & A. Dimri https://doi.org/10.3389/fenvs.2018.00042
24. Lacustrine brGDGT response to microcosm and mesocosm incubations P. Martínez-Sosa & J. Tierney https://doi.org/10.1016/j.orggeochem.2018.10.011
25. Estimation of near‐surface air temperature lapse rates over continental Spain and its mountain areas F. Navarro‐Serrano et al. https://doi.org/10.1002/joc.5497
26. How much influence does landscape-scale physiography have on air temperature in a mountain environment? S. Dobrowski et al. https://doi.org/10.1016/j.agrformet.2009.06.006
27. Distributed Hydrological Modeling Framework for Quantitative and Spatial Bias Correction for Rainfall, Snowfall, and Mixed‐Phase Precipitation Using Vertical Profile of Temperature A. Naseer et al. https://doi.org/10.1029/2018JD029811
28. Characterizing and comparing surface and free-air atmosphere temperature profiles in an Andean sub-tropical mountain catchment M. Ibañez et al. https://doi.org/10.1080/02626667.2025.2598340
29. Temperature variation across Marion Island associated with a keystone plant species (Azorella selago Hook. (Apiaceae)) M. Nyakatya & M. McGeoch https://doi.org/10.1007/s00300-007-0341-8
30. Evaluation of NASA satellite- and assimilation model-derived long-term daily temperature data over the continental US J. White et al. https://doi.org/10.1016/j.agrformet.2008.05.017
31. Characteristics of springtime nocturnal temperature inversions in a high latitude environment R. Williams & T. Thorp https://doi.org/10.1002/wea.2554
32. Current awareness https://doi.org/10.1002/hyp.6001
33. Near-Surface Air Temperature Dependence on Elevation and Geographical Coordinates Over Tropical Desert Land Surfaces D. Kattel et al. https://doi.org/10.3389/feart.2021.777381
34. Estimation on the Hourly Distribution of Near-Surface Temperature Lapse Rate Under Winter Clear-Sky Conditions G. Zhang et al. https://doi.org/10.1109/TGRS.2023.3327071
35. A Mountain‐Front Recharge Component Characterization Approach Combining Groundwater Age Distributions, Noble Gas Thermometry, and Fluid and Energy Transport Modeling K. Markovich et al. https://doi.org/10.1029/2020WR027743
36. Application of geographically weighted regression model in the estimation of surface air temperature lapse rate Y. Qin et al. https://doi.org/10.1007/s11442-021-1849-5
37. Climatic and structural comparison of yellow pine and mixed-conifer forests in northern Baja California (México) and the eastern Sierra Nevada (California, USA) M. Dunbar-Irwin & H. Safford https://doi.org/10.1016/j.foreco.2015.12.039
38. Relationships between alpha diversity of plant species in bloom and climatic variables across an elevation gradient T. Crimmins et al. https://doi.org/10.1007/s00484-007-0130-7
39. Temporal and spatial changes in estimated near‐surface air temperature lapse rates on Tibetan Plateau Y. Wang et al. https://doi.org/10.1002/joc.5471
40. A global monthly land surface air temperature analysis for 1948–present Y. Fan & H. van den Dool https://doi.org/10.1029/2007JD008470
41. Temperature–topographic elevation relationship for high mountain terrain: an example from the southeastern Tibetan Plateau D. Kattel & T. Yao https://doi.org/10.1002/joc.5418
42. Comparison of temperature lapse rates from the northern to the southern slopes of the Himalayas D. Kattel et al. https://doi.org/10.1002/joc.4297
43. A New Methodology for Estimating the Surface Temperature Lapse Rate Based on Grid Data and Its Application in China Y. Qin et al. https://doi.org/10.3390/rs10101617
44. Integrated Spatial Analysis of Forest Fire Susceptibility in the Indian Western Himalayas (IWH) Using Remote Sensing and GIS-Based Fuzzy AHP Approach . Pragya et al. https://doi.org/10.3390/rs15194701