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Jetse D. Kalma

Researcher at University of Newcastle

Publications -  129
Citations -  5548

Jetse D. Kalma is an academic researcher from University of Newcastle. The author has contributed to research in topics: Water content & Soil water. The author has an hindex of 40, co-authored 129 publications receiving 5224 citations. Previous affiliations of Jetse D. Kalma include University of Western Australia & Kansas Department of Agriculture, Division of Water Resources.

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Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data

TL;DR: In this article, the authors present a review of methods for estimating evaporation from landscapes, regions and larger geographic extents, with remotely sensed surface temperatures, and highlight uncertainties and limitations associated with those estimation methods.
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In situ measurement of soil moisture: a comparison of techniques

TL;DR: In this paper, the authors made an inter-comparison of the Virrib w, Campbell Scientific CS615 reflectometer, Soil Moisture Equipment Corporation TRASE w buriable-and connector-type time domain reflectometry (TDR) soil moisture sensors, and a comparison of the connector type TDR sensor with thermogravimetric measurements for data collected during a 2-year field study.
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A time series approach to inferring groundwater recharge using the water table fluctuation method

TL;DR: In this article, a multievent time series approach is presented for inferring groundwater recharge from long-term water table and precipitation records, incorporating variable specific yield based upon the soil moisture retention curve, proper accounting for the Lisse effect on the water table, and incorporation of aquifer drainage so that recharge can be detected even if the water tables do not rise.
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One-dimensional soil moisture profile retrieval by assimilation of near-surface observations: a comparison of retrieval algorithms

TL;DR: In this paper, the authors investigated the ability to retrieve the true soil moisture and temperature profiles by assimilating near-surface moisture and surface temperature data into a soil mixture and heat transfer model.
Book

Scale issues in hydrological modelling

TL;DR: In this article, the Representative Elementary Area concept is investigated based on field data and a process-based model for Colluvial Soil Depth and Shallow Landsliding using Digital Elevation Data is proposed.