Practical formulas for the refraction coefficient

Knowledge of the actual refraction coefficient is essential in leveling surveys and precise electromagnetic distance measurement reduction. The most common method followed by the surveyor for its determination is based on the use of simultaneous reciprocal zenith observations. The commonly used formula is only an approximation valid for approximately horizontal sightings, whereas the exact geometric solution turns out to be very complicated so that an iterative computation procedure is suggested instead. In the present paper, the goal is to derive a compact formula from the complete solution that is easy to implement and retains the necessary accuracy for horizontal and slanted sightings. In addition, the paper will also focus on the common situation for the surveyor where isolated observations have to be done and no partially compensating procedures—e.g., leap-frog or middle point—are possible. If temperature vertical profiles are unknown then the refraction coefficient cannot be reliably determined. Some surveyors may customarily use then an average value, e.g., k 5 0:13, perhaps being unaware of the risks involved in such simplistic assumption. In the present paper, it is also a goal to present a useful and simple formula for approximately estimating the refraction coefficient in terms of easily accessible parameters to correct the bulk of the refraction effect in single observations, always bearing in mind that determination of the refraction coefficient by means of a model may turn out to be somewhat inaccurate, but still better than the blind use of a universal k.The authors are grateful to the editor and the anonymous reviewers for their valuable suggestions, corrections, and comments that helped improve the original manuscript. This research is funded by the Spanish Ministry of Science and Innovation (Grant No. AYA2011-23232).Baselga Moreno, S.; García-Asenjo Villamayor, L.; Garrigues Talens, P. (2014). Practical formulas for the refraction coefficient. Journal of Surveying Engineering. 140(2):1-5. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000124S15140

An Assessment of the diversity in scenario-based tsunami forecasts for the Indian Ocean

This work examines the extent to which tsunami forecasts from different numerical forecast systems might be expected to differ under real-time conditions. This is done through comparing tsunami amplitudes from a number of existing tsunami scenario databases for eight different hypothetical tsunami events within the Indian Ocean. Forecasts of maximum tsunami amplitude are examined at ten output points distributed throughout the Indian Ocean at a range of depths. The results show that there is considerable variability in the forecasts and on average, the standard deviation of the maximum amplitudes is approximately 62% of the mean value. It is also shown that a significant portion of this diversity can be attributed to the different lengths of the scenario time series. These results have implications for the interoperability of Regional Tsunami Service Providers in the Indian Ocean

Coupled ice sheet‒climate interactions during the Last Interglacial simulated with LOVECLIM

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Gravity

Since the launch of the satellite GOCE, the gravity field is available globally on Earth at a resolution that poses exciting challenges in the study of tectonic and geologic features. The satellite-derived gravity fields are published in terms of spherical harmonic expansion, which requires basic knowledge of this technique. Here, the essential properties of the field in this formulation are illustrated, with the intent to give sufficient insight to allow the interested reader to calculate the gravity fields in the own area of interest and draw helpful conclusions on the comprehension of the geologic context through qualitative considerations of the gravity field. The gravity models are publicly available as well as the necessary software to compute the fields, offering a useful tool applicable in diverse situations in which subsurface density variations reveal hidden geologic processes, ranging from Earth structure and its time variations, Earth tides, detection of caves, and the study of earthquakes