Corrigendum to “Seasonal development and radiative forcing of red snow algal blooms on two glaciers in British Columbia, Canada, summer 2020” [Remote Sensing of Environment 280 (2022) 113164] (Remote Sensing of Environment (2022) 280, (S0034425722002784), (10.1016/j.rse.2022.113164))

Casey B. Engstrom, Scott N. Williamson, John A. Gamon, Lynne M. Quarmby

Research output: Contribution to journalComment/debatepeer-review

Abstract

The authors regret a coding error that impacted several estimates related to the seasonal radiative forcing caused by snow algal blooms. The coding error led to the improper merging of two datasets (interpolated RGND timeseries and solar radiation), resulting in two mean daily solar radiation values per day instead of one. Consequently, our estimates of snow algae radiative forcing in July and August were approximately twice as high as they should have been. The authors would like to apologise for any inconvenience caused. The corrected estimates and figures are as follows: 1. Highlights (point 5): Original text: Snow algal radiative forcing was enough to melt 31.5 cm of snow. Correction: Snow algal radiative forcing was enough to melt 16 cm of snow. 2. Abstract: Original text: Snow algae caused an additional 5.25 ± 1.0 × 107 J/m2 of solar energy to be absorbed by the snowpack… enough energy to melt 31.5 cm of snow. This is equivalent to an average snow algal radiative forcing of 8.25 ± 1.6 W/m2 through July and August. Correction: Snow algae caused an additional 2.6 ± 0.5 × 107 J/m2 of solar energy to be absorbed by the snowpack… enough energy to melt 16 cm of snow. This is equivalent to an average snow algal radiative forcing of 4.12 ± 0.8 W/m2 through July and August. 3. Results and Discussion (subsection 3.3, fourth paragraph): Original text: Expressing our SRF estimates in terms of total energy per area, snow algae caused the snowpack to absorb an additional 6.1 ± 1.2 × 107 and 4.4 ± 0.8 × 107 J/m2 of solar energy throughout summer 2020 within the Vowell and Catamount bloom polygons respectively, on average 5.25 ± 1.0 × 107 J/m2…. Following the approach of Cook et al. (2020), 5.25 ± 1.0 × 107 J is enough energy to melt 159 kg of snow given the latent heat of fusion…. 159 kg of snow per square meter would extend to a depth of 31.5 cm.…[S]now algae could account for approximately 9% of the total snowmelt within the bloom polygons. Correction: Expressing our SRF estimates in terms of total energy per area, snow algae caused the snowpack to absorb an additional 2.2 ± 0.4 × 107 and 3 ± 0.6 × 107 J/m2 of solar energy throughout summer 2020 within the Vowell and Catamount bloom polygons respectively, on average 2.6 ± 0.5 × 107 J/m2…. Following the approach of Cook et al. (2020), 2.6 ± 0.5 × 107 J is enough energy to melt 80 kg of snow given the latent heat of fusion…. 80 kg of snow per square meter would extend to a depth of 16 cm…. [S]now algae could account for approximately 5% of the total snowmelt within the bloom polygons. 4. Conclusion: Original text: The radiative forcing due to snow algae was on average 8.25 ± 1.6 W/m2…, enough to melt 31.5 cm of snow. Correction: The radiative forcing due to snow algae was on average 4.12 ± 0.8 W/m2…, enough to melt 16 cm of snow. 5. Supplemental figures (Fig. S15): The original Fig. S15 erroneously showed two snow algae radiative forcing values per day.

Original languageEnglish (US)
Article number113873
JournalRemote Sensing of Environment
Volume300
DOIs
StatePublished - Jan 1 2024

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences

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