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Computational Biogeochemistry (Research Center for Oceanography)
Modeling, forecast, statistical models, machine learning
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Apr 19, 2024 - Marine Forecast Dataverse
Wahyudi, Aan Johan, 2023, "Supplementary materials of POC forecast (Sunda Shelf Sea)", https://hdl.handle.net/20.500.12690/RIN/DKMABL, RIN Dataverse, V3, UNF:6:mQu2raqyMv99KVhCC56f4A== [fileUNF]
Supplementary materials of Sunda Shelf's POC forecast (SARIMA and SARIMAX)
Adobe PDF - 160.4 KB - MD5: f0ad89bb83331732b09186354ecc921b
Tabular Data - 19.4 KB - 7 Variables, 279 Observations - UNF:6:kNFntbr3KTfNrZHmRy0KeA==
Hindcast dataset of POC of Sunda Shelf Sea
MS Word - 16.8 KB - MD5: 5dc89dd5225166757552c3394b4ff2ab
PLS result
MS Word - 29.5 KB - MD5: 2686e1174f79007246df633a4ed37189
Python code for generating SARIMA and SARIMAX model
MS Word - 902.3 KB - MD5: d7dcccd0193a49e0d406989727f7a165
SARIMA and SARIMAX metric and validation
Tabular Data - 7.0 KB - 5 Variables, 98 Observations - UNF:6:OfrgnFQZ5uB3qCR7DfKCgA==
forecast data of POC using the SARIMA model
Tabular Data - 7.0 KB - 5 Variables, 98 Observations - UNF:6:8yG9hJJkOIRGIvz95kVYWw==
forecast data of POC using the SARIMAX[exog=SST] model
MS Word - 14.7 KB - MD5: bea3a256f1e94d65ef3261884560e695
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